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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. 3-RES-JB
    11. 22755
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    Explanations

    references to fiscal years and budgetary matters

    oai_token-act-pair · gpt-3.5-turbo

    references to fiscal years and budget-related discussions

    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
    ipedia
    -0.77
    adder
    -0.76
    ichen
    -0.75
    Tube
    -0.75
    Allows
    -0.74
     Cosponsors
    -0.73
     Jem
    -0.72
    skirts
    -0.72
    lain
    -0.69
    posts
    -0.69
    POSITIVE LOGITS
     warfare
    0.86
     restraint
    0.81
     restraints
    0.77
     allocation
    0.75
     prud
    0.74
     stimulus
    0.74
     deficits
    0.74
     overflow
    0.74
    izoph
    0.74
     burdens
    0.73
    Activations Density 0.015%

    No Known Activations