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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. 2-RES-JB
    11. 8963
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    Explanations

    terms related to financial or social benefits

    oai_token-act-pair · gpt-3.5-turbo

    references to benefits, particularly in the context of welfare and social programs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ£
    -0.78
    ²¾
    -0.63
    Plot
    -0.63
     IPM
    -0.62
    rez
    -0.62
    ñ
    -0.61
    VER
    -0.61
     Rim
    -0.60
    parts
    -0.59
    TE
    -0.59
    POSITIVE LOGITS
    benefit
    1.08
     benefits
    0.96
    chwitz
    0.93
     benefit
    0.90
    benef
    0.87
     accrued
    0.87
    ibling
    0.86
     Benefits
    0.86
     conferred
    0.85
    acebook
    0.82
    Activations Density 0.018%

    No Known Activations