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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. 9-RES-JB
    11. 22990
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    INDEX
    Explanations

    phrases related to progression, planning, monitoring, and possibly conflict resolution

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific pattern or symbol

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     isolation
    -0.65
     suicide
    -0.61
     ignition
    -0.59
     Blank
    -0.59
     disobedience
    -0.59
     Alter
    -0.59
     silhou
    -0.58
     Spot
    -0.57
     Yor
    -0.57
     Alto
    -0.56
    POSITIVE LOGITS
    ve
    1.03
    ould
    0.99
    s
    0.99
    agree
    0.95
    ng
    0.95
    ved
    0.93
    ï¸ı
    0.92
    felt
    0.91
    t
    0.91
    sure
    0.90
    Activations Density 0.179%

    No Known Activations