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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. 13644
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    Explanations

    suggestions or proposals

    oai_token-act-pair · gpt-3.5-turbo

    suggestions or proposals for alternative actions

    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
    oken
    -0.78
    ULTS
    -0.70
     sensing
    -0.66
    htaking
    -0.65
    ukemia
    -0.64
    omen
    -0.64
    ieth
    -0.62
     Winning
    -0.62
    20439
    -0.61
    ELD
    -0.61
    POSITIVE LOGITS
     postpone
    1.27
     ditch
    1.24
     automate
    1.20
     rethink
    1.18
     revert
    1.17
     concentrate
    1.17
     rename
    1.16
     try
    1.15
     simplify
    1.13
     borrow
    1.12
    Activations Density 0.322%

    No Known Activations