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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. 6-RES-JB
    11. 3004
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    Explanations

    phrases enclosed in square brackets

    oai_token-act-pair · gpt-3.5-turbo

    quoted speech or dialogue within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Gors
    -0.67
     Finals
    -0.66
     reckoning
    -0.66
     Salem
    -0.64
     Phoenix
    -0.64
     Luck
    -0.63
     Chennai
    -0.63
     Britann
    -0.62
     cancell
    -0.61
     SAM
    -0.61
    POSITIVE LOGITS
    âĢ¦]
    1.61
    ...]
    1.51
    english
    1.12
    REDACTED
    0.96
    ']
    0.93
    ederal
    0.79
    !]
    0.78
    entimes
    0.78
    :]
    0.78
    ideshow
    0.78
    Activations Density 0.032%

    No Known Activations