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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. 7-RES-JB
    11. 18682
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    Explanations

    adjectives followed by the word "term" where "term" indicates a period of time

    oai_token-act-pair · gpt-3.5-turbo

    references to long-term concepts or effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IRO
    -0.77
    atche
    -0.74
    unin
    -0.72
    illard
    -0.69
    leck
    -0.69
    ILA
    -0.66
    CB
    -0.65
    ILLE
    -0.64
     Poker
    -0.63
    Always
    -0.63
    POSITIVE LOGITS
    itud
    1.24
     overdue
    1.10
    itudinal
    1.09
    lasting
    1.08
    sword
    1.07
     ago
    1.00
    itude
    0.98
     lasting
    0.95
     term
    0.95
    term
    0.94
    Activations Density 0.050%

    No Known Activations