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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. 4-RES-JB
    11. 24400
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    Explanations

    proper nouns related to various fictional characters and entities

    oai_token-act-pair · gpt-3.5-turbo

    references to heroic or legendary figures across various contexts

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

    No Comments

    Negative Logits
    lying
    -0.67
    ATIONS
    -0.65
     separation
    -0.64
    FLAG
    -0.64
     revocation
    -0.63
    nce
    -0.63
     submission
    -0.62
     Pruitt
    -0.62
    Prosecut
    -0.62
    IDA
    -0.60
    POSITIVE LOGITS
    hip
    1.55
    mith
    1.42
    aurus
    1.38
    paces
    1.30
    poons
    1.28
    hift
    1.17
    hips
    1.16
    pace
    1.15
    cale
    1.12
    ervative
    1.12
    Activations Density 0.217%

    No Known Activations