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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. 2-RES-JB
    11. 8140
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    Explanations

    names related to a specific tragic event, potentially in a news context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Sandy Hook incident

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orescent
    -1.05
    ioch
    -0.95
    olulu
    -0.94
    unct
    -0.94
    orney
    -0.82
    aird
    -0.81
    uador
    -0.81
    usc
    -0.79
    hovah
    -0.77
    ¥ŀ
    -0.77
    POSITIVE LOGITS
     Sandy
    1.24
     Hook
    1.14
     Kou
    0.92
     Claus
    0.83
     Springs
    0.82
     Island
    0.78
     Newtown
    0.76
     Creek
    0.75
     Beach
    0.74
     Maria
    0.73
    Activations Density 0.006%

    No Known Activations