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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 19749
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    Explanations

    references to large sums of money

    oai_token-act-pair · gpt-3.5-turbo

    references to large quantities of money

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stood
    -0.75
    anooga
    -0.71
    dated
    -0.69
    raints
    -0.68
    swick
    -0.68
    anwhile
    -0.68
     chill
    -0.63
    graded
    -0.63
    chron
    -0.63
    atility
    -0.62
    POSITIVE LOGITS
     dollars
    0.84
    aire
    0.82
    +)
    0.82
     yen
    0.81
    aires
    0.81
     dollar
    0.74
     yuan
    0.70
    +
    0.70
    ãĥīãĥ©ãĤ´ãĥ³
    0.70
    iles
    0.69
    Activations Density 0.050%

    No Known Activations