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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. 20369
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    Explanations

    names of locations or organizations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "BE" in various 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
    ados
    -0.82
    ively
    -0.75
    azines
    -0.73
    andra
    -0.68
    raint
    -0.65
    adic
    -0.65
    raviolet
    -0.64
    ographs
    -0.63
     Bram
    -0.63
    essee
    -0.62
    POSITIVE LOGITS
    FORE
    1.43
    yond
    1.33
    AUT
    1.05
    BE
    0.98
    ijing
    0.95
    ACH
    0.94
    LL
    0.91
    AST
    0.90
    ARD
    0.90
    ANS
    0.89
    Activations Density 0.003%

    No Known Activations