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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. 20768
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    statements indicating necessity or advice

    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
    jong
    -0.67
    ipes
    -0.64
    umbn
    -0.63
    rongh
    -0.63
    å¤
    -0.62
    roma
    -0.61
    senal
    -0.61
    handle
    -0.60
    izons
    -0.59
    mage
    -0.59
    POSITIVE LOGITS
     Miko
    0.68
    inar
    0.68
     raining
    0.66
     ICO
    0.65
    ceivable
    0.65
     Osw
    0.65
     Canaver
    0.63
     Engels
    0.62
     coincidence
    0.61
     instinct
    0.60
    Activations Density 0.254%

    No Known Activations