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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. 6362
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    INDEX
    Explanations

    heads of organizations or departments

    oai_token-act-pair · gpt-3.5-turbo

    references to leadership positions

    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
     mell
    -0.67
    ĸļ
    -0.67
    PsyNetMessage
    -0.66
     subp
    -0.65
     Suc
    -0.65
     resil
    -0.64
    eros
    -0.63
     Strat
    -0.63
    adoes
    -0.61
     Sparkle
    -0.61
    POSITIVE LOGITS
    lining
    1.16
    quarter
    1.14
    gear
    1.07
    canon
    1.06
    scar
    1.03
    liner
    1.02
    hun
    1.00
    liners
    0.95
    hunter
    0.95
    phones
    0.91
    Activations Density 0.025%

    No Known Activations