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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. 4797
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    Explanations

    warnings or cautionary statements

    oai_token-act-pair · gpt-3.5-turbo

    instances of warnings and cautions about risks or dangers

    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
    OVA
    -0.76
    pleted
    -0.74
    rien
    -0.69
    FUN
    -0.69
    stantial
    -0.68
    çĦ
    -0.68
    mite
    -0.68
    elta
    -0.68
    vez
    -0.68
    nan
    -0.67
    POSITIVE LOGITS
     against
    1.30
    against
    0.99
     omin
    0.98
     listeners
    0.90
     caution
    0.88
     policymakers
    0.87
     investors
    0.85
     citizens
    0.82
     readers
    0.82
     consumers
    0.82
    Activations Density 0.055%

    No Known Activations