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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. 11-RES-JB
    11. 401
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    Explanations

    words related to tasks or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate actions, discussions, or queries related to people or their actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĢ
    -0.87
    âľ
    -0.86
    âĻ¦
    -0.85
    )</
    -0.85
    ãĢ
    -0.81
     thereafter
    -0.78
    </
    -0.77
    âī
    -0.74
     âĢ
    -0.74
    âĸº
    -0.74
    POSITIVE LOGITS
     casinos
    0.58
     tournaments
    0.55
     prizes
    0.54
     sauces
    0.52
     competitions
    0.51
     RPGs
    0.51
     bets
    0.50
     telescopes
    0.50
     prisons
    0.50
     distributions
    0.50
    Activations Density 1.407%

    No Known Activations