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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. 0-RES-JB
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    Explanations

    mentions of the city "Baton Rouge"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to essential materials and locations, particularly emphasizing "essential" and references to Baton Rouge

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rained
    -0.74
    acent
    -0.73
    ors
    -0.72
    bid
    -0.70
     cand
    -0.63
    tight
    -0.62
     Hots
    -0.62
    iband
    -0.61
     pres
    -0.60
     suff
    -0.60
    POSITIVE LOGITS
    essential
    2.68
     Rouge
    1.84
     Citizen
    1.14
     Deadpool
    0.99
    uable
    0.98
     Bour
    0.96
    xus
    0.95
     Blanc
    0.92
     Wolverine
    0.91
     Rogue
    0.90
    Activations Density 0.044%

    No Known Activations