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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. 10-RES-JB
    11. 16328
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    Explanations

    negative statements

    oai_token-act-pair · gpt-3.5-turbo

    negative assertions or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RAFT
    -0.71
     lest
    -0.65
     Comes
    -0.60
    iveness
    -0.59
    ULTS
    -0.58
    ean
    -0.58
    beit
    -0.58
     WATCHED
    -0.57
    etts
    -0.57
    ousand
    -0.57
    POSITIVE LOGITS
     longer
    1.30
    xious
    1.17
    ct
    0.92
     ordinary
    0.89
     stranger
    0.89
     doubt
    0.88
     exception
    0.88
     coincidence
    0.84
     picnic
    0.83
    otrop
    0.81
    Activations Density 0.039%

    No Known Activations