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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. 9-RES-JB
    11. 13296
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    Explanations

    action-oriented phrases indicating participation or engagement

    oai_token-act-pair · gpt-3.5-turbo

    commands or prompts encouraging action and engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.64
    Solution
    -0.63
    andowski
    -0.61
    ļé
    -0.60
    Prosecut
    -0.60
    "},"
    -0.58
     constitu
    -0.58
    Orig
    -0.57
     dismant
    -0.57
     euth
    -0.55
    POSITIVE LOGITS
     beware
    1.20
     yourselves
    1.08
     bookmark
    0.94
     tuned
    0.89
     yourself
    0.89
     patience
    0.86
    hee
    0.76
     enjoy
    0.76
     yours
    0.72
    yip
    0.71
    Activations Density 0.246%

    No Known Activations