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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. 9-RES-JB
    11. 17401
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    Explanations

    the author's name within a sentence

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific character or symbol being mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     neutrality
    -0.67
     dwindling
    -0.65
     flowering
    -0.65
     fringe
    -0.64
     outing
    -0.64
     ranges
    -0.64
     territorial
    -0.64
     succession
    -0.63
     thwart
    -0.62
     Seah
    -0.62
    POSITIVE LOGITS
    ï¸ı
    1.12
    VE
    0.89
    agree
    0.88
    felt
    0.87
    know
    0.85
    ope
    0.84
    ï¸
    0.84
    DEN
    0.84
    vest
    0.83
    love
    0.83
    Activations Density 0.131%

    No Known Activations