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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. 3-RES-JB
    11. 2909
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    Explanations

    references to various types of guns or gun-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of guns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Strawberry
    -0.82
    gaard
    -0.74
     Archdemon
    -0.73
    é¾įå¥ij士
    -0.71
    Benef
    -0.69
     Humph
    -0.69
     Hort
    -0.67
    20439
    -0.66
     Organic
    -0.65
     Dietary
    -0.64
    POSITIVE LOGITS
    powder
    1.48
    linger
    1.00
    ner
    1.00
    nery
    1.00
    lance
    1.00
    boats
    0.98
     turrets
    0.97
    smith
    0.97
     turret
    0.97
     salute
    0.96
    Activations Density 0.020%

    No Known Activations