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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. 1-RES-JB
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    Explanations

    mentions of bombers and aircraft associated with bombing missions

    oai_token-act-pair · gpt-3.5-turbo

    references to bombers and bombing-related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    laus
    -0.85
    Nev
    -0.84
    VID
    -0.83
    oint
    -0.81
    avez
    -0.74
    Ven
    -0.73
    PE
    -0.72
    ointed
    -0.70
     Poc
    -0.68
    Raw
    -0.67
    POSITIVE LOGITS
     bomber
    1.60
     bombers
    1.41
     Bomber
    1.06
     bombing
    0.98
     Bom
    0.95
     carrier
    0.88
     squadron
    0.85
     jets
    0.79
     jackets
    0.78
    gee
    0.77
    Activations Density 0.006%

    No Known Activations