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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. 8-RES-JB
    11. 8299
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    Explanations

    words related to time durations or lengths

    oai_token-act-pair · gpt-3.5-turbo

    references to long-term concepts or durations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IRO
    -0.77
    leck
    -0.76
     Compass
    -0.73
    atche
    -0.71
    illard
    -0.66
    PLE
    -0.63
    ascal
    -0.63
    ILLE
    -0.63
    CB
    -0.61
    lik
    -0.60
    POSITIVE LOGITS
    itud
    1.26
     overdue
    1.17
    lasting
    1.13
    sword
    1.11
    itudinal
    1.10
    shore
    1.04
     ago
    1.03
    itude
    1.01
    term
    1.00
    itudes
    0.99
    Activations Density 0.058%

    No Known Activations