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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 14059
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    Explanations

    verbs related to actions or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the existence of potential and opportunities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     certific
    -0.67
     eligible
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     happiest
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     proud
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    pires
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     ineligible
    -0.62
     permissible
    -0.60
     occas
    -0.60
    ho
    -0.59
     proficient
    -0.59
    POSITIVE LOGITS
    \\\\\\\\
    0.91
    REDACTED
    0.74
    amphetamine
    0.70
    TEXTURE
    0.66
     Aven
    0.66
    onne
    0.65
    PsyNetMessage
    0.65
     Aman
    0.64
    ::::
    0.63
    maxwell
    0.63
    Activations Density 0.247%

    No Known Activations