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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. 11-RES-JB
    11. 1239
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    Explanations

    names of political entities, specifically "White House."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the White House

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ANS
    -0.78
    REM
    -0.77
    itals
    -0.63
    akuya
    -0.63
    nel
    -0.62
    olls
    -0.62
    anwhile
    -0.61
     facult
    -0.61
    going
    -0.60
    Downloadha
    -0.59
    POSITIVE LOGITS
     House
    1.39
    House
    1.21
     Sox
    1.14
    house
    1.14
    hall
    1.10
     HOUSE
    1.09
     Houses
    0.99
     Plains
    0.97
    caps
    0.96
    ewater
    0.94
    Activations Density 0.021%

    No Known Activations