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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. 10-RES-JB
    11. 24500
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    INDEX
    Explanations

    historical events and dates

    oai_token-act-pair · gpt-3.5-turbo

    references to significant decisions or appointments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     funny
    -0.69
     dunno
    -0.68
     lousy
    -0.66
     mad
    -0.65
     idiots
    -0.64
     laugh
    -0.63
     horr
    -0.63
     nasty
    -0.62
     vomit
    -0.62
     rotten
    -0.62
    POSITIVE LOGITS
    assad
    0.78
    sequently
    0.76
     consequently
    0.73
    urther
    0.72
     accordingly
    0.71
     thereby
    0.71
    ocating
    0.70
    tains
    0.69
    shown
    0.67
     subsequent
    0.67
    Activations Density 1.064%

    No Known Activations