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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. 6-RES-JB
    11. 20615
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    Explanations

    references to names of individuals or entities related to significant monetary amounts

    oai_token-act-pair · gpt-3.5-turbo

    references to billionaires and their wealth

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivity
    -0.73
    uality
    -0.70
    anooga
    -0.69
    swick
    -0.67
    */(
    -0.65
    chron
    -0.65
    annel
    -0.64
    anwhile
    -0.64
    Attach
    -0.64
    raints
    -0.63
    POSITIVE LOGITS
    aire
    1.40
    aires
    1.37
    dollar
    1.04
     dollar
    0.97
    naire
    0.96
     Dollar
    0.92
     dollars
    0.92
    thal
    0.76
    agy
    0.76
     Dollars
    0.74
    Activations Density 0.033%

    No Known Activations