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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. 3-RES-JB
    11. 20882
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    Explanations

    references to explicit content

    oai_token-act-pair · gpt-3.5-turbo

    references to explicit content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tycoon
    -0.86
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.76
    STON
    -0.76
    Kenn
    -0.75
     Quincy
    -0.74
    Squ
    -0.72
     Breaker
    -0.72
    riors
    -0.69
    nesota
    -0.69
    pered
    -0.69
    POSITIVE LOGITS
     explicit
    1.02
     guiActiveUn
    0.93
     textual
    0.89
    ities
    0.87
     invitation
    0.78
     explor
    0.77
    ness
    0.77
     transmission
    0.76
     explicitly
    0.73
     material
    0.71
    Activations Density 0.012%

    No Known Activations