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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. 7-RES-JB
    11. 4074
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    frog
    -0.78
    429
    -0.66
    lc
    -0.62
    side
    -0.60
     Opera
    -0.60
     Reincarnated
    -0.59
     cloves
    -0.59
    tc
    -0.57
     tits
    -0.56
    tf
    -0.56
    POSITIVE LOGITS
    orem
    0.74
    hyde
    0.68
    oren
    0.67
    ente
    0.64
    igham
    0.64
    htaking
    0.64
    ynes
    0.64
    overty
    0.63
    Actor
    0.63
    leneck
    0.63
    Activations Density 0.074%

    No Known Activations