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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. 16883
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    Explanations

    numbers or numerical patterns

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical amounts or statistics

    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
    frey
    -0.76
    ports
    -0.72
    oard
    -0.72
    tails
    -0.70
    ding
    -0.69
    gart
    -0.69
    yer
    -0.68
    estine
    -0.68
    erm
    -0.67
    er
    -0.67
    POSITIVE LOGITS
    xual
    0.98
    cffff
    0.78
     chars
    0.74
    mph
    0.74
    iasm
    0.73
    993
    0.73
     sidx
    0.72
    avorite
    0.71
    cliffe
    0.70
     ILCS
    0.69
    Activations Density 0.018%

    No Known Activations