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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. 17555
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific phrase or term

    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
    NetMessage
    -0.77
    ttes
    -0.76
     Nazis
    -0.73
     wool
    -0.69
     stakes
    -0.67
     grapes
    -0.66
     lodge
    -0.66
     Cth
    -0.63
     shroud
    -0.63
     bruises
    -0.63
    POSITIVE LOGITS
    mediate
    1.48
    perial
    1.40
    prison
    1.36
    mediately
    1.36
    ply
    1.29
    plement
    1.28
    posing
    1.26
    moral
    1.25
    minent
    1.23
    perfect
    1.23
    Activations Density 0.029%

    No Known Activations