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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
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    Explanations

    mentions of locations or entities related to Washington, D.C

    oai_token-act-pair · gpt-3.5-turbo

    references to Washington D.C. and its associated contexts

    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
    ATER
    -0.71
    ONY
    -0.68
    onyms
    -0.68
    tle
    -0.67
    Unique
    -0.67
    inarily
    -0.66
    sed
    -0.65
    SQL
    -0.64
    Sov
    -0.63
    ãĤ¶
    -0.63
    POSITIVE LOGITS
    ptroller
    0.68
     prospect
    0.67
     Nev
    0.67
     Toll
    0.66
     traffic
    0.64
     Militia
    0.62
     Irving
    0.62
    uble
    0.62
    facing
    0.61
    istan
    0.61
    Activations Density 0.298%

    No Known Activations