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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. 11-RES-JB
    11. 14680
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    Explanations

    long terms or phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to "long-term" contexts or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Thumbnails
    -0.68
    selves
    -0.65
     Compass
    -0.62
    onom
    -0.61
     ours
    -0.61
     comprom
    -0.58
    IRO
    -0.58
    Tur
    -0.58
    ï¸
    -0.58
     Territories
    -0.57
    POSITIVE LOGITS
     awaited
    1.18
    shore
    1.10
     overdue
    1.10
    itudinal
    1.04
    standing
    1.00
    term
    0.97
    sword
    0.95
    wind
    0.90
    itude
    0.89
    itud
    0.89
    Activations Density 0.054%

    No Known Activations