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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. 6-RES-JB
    11. 3613
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to grand jury processes or proceedings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.93
    utics
    -0.81
    tics
    -0.73
    phrine
    -0.72
    qqa
    -0.70
    lihood
    -0.69
    Dialogue
    -0.69
    ople
    -0.69
    PsyNetMessage
    -0.68
     Slater
    -0.67
    POSITIVE LOGITS
    child
    1.14
    parent
    1.05
    iosity
    1.02
    eur
    0.97
    pa
    0.95
    master
    0.88
    mother
    0.87
    father
    0.85
    view
    0.85
    est
    0.85
    Activations Density 0.010%

    No Known Activations