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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. 5344
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    INDEX
    Explanations

    prepositions indicating location or possession

    oai_token-act-pair · gpt-3.5-turbo

    references to locations or places

    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
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    No Comments

    Negative Logits
    avier
    -0.68
    isner
    -0.66
     undercut
    -0.65
    arily
    -0.65
    NetMessage
    -0.65
    vernment
    -0.61
    iber
    -0.61
     intensify
    -0.60
    */(
    -0.60
     stride
    -0.60
    POSITIVE LOGITS
    lies
    0.79
    abouts
    0.77
     sorts
    0.73
     Refuge
    0.73
    verages
    0.72
     origin
    0.67
     Plenty
    0.64
     yours
    0.63
     Roses
    0.63
     Cul
    0.61
    Activations Density 0.127%

    No Known Activations