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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 4759
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to events involving law enforcement or legal matters

    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
    ''.
    -0.84
    ".[
    -0.82
    ".
    -0.79
    ]."
    -0.74
    }.
    -0.72
    '.
    -0.71
    !".
    -0.70
    .).
    -0.69
    `.
    -0.68
    ."[
    -0.67
    POSITIVE LOGITS
    ©¶æ
    0.60
    ailability
    0.60
    bris
    0.57
    inventoryQuantity
    0.54
    ij士
    0.53
    rontal
    0.52
     exting
    0.52
    insured
    0.52
    ursday
    0.52
    aterasu
    0.51
    Activations Density 2.326%

    No Known Activations