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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. 4-RES-JB
    11. 1553
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    Explanations

    mentions of specific actions or personal situations

    oai_token-act-pair · gpt-3.5-turbo

    topics related to social issues and conflicts

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

    No Comments

    Negative Logits
    anwhile
    -0.56
     respectively
    -0.52
    itored
    -0.51
    EVA
    -0.50
    ospital
    -0.48
     indigenous
    -0.47
    ufact
    -0.47
    impact
    -0.46
    uments
    -0.46
    containing
    -0.46
    POSITIVE LOGITS
    !:
    0.64
    ?!"
    0.63
    coin
    0.62
     crochet
    0.60
    !!!
    0.59
    natureconservancy
    0.59
     guy
    0.59
    !!!!!
    0.59
    ...?
    0.58
    !?
    0.58
    Activations Density 2.587%

    No Known Activations