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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. 24438
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    INDEX
    Explanations

    Operation names

    oai_token-act-pair · gpt-3.5-turbo

    references to military operations

    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
    hus
    -0.85
    gets
    -0.84
    warts
    -0.77
    yards
    -0.70
    eree
    -0.68
    erers
    -0.68
    hu
    -0.68
    axter
    -0.67
    uda
    -0.67
    azaki
    -0.67
    POSITIVE LOGITS
     Operation
    1.09
    Operation
    1.05
     Twist
    0.76
     operation
    0.73
     Arrow
    0.73
    operation
    0.72
     Procedure
    0.71
     Suit
    0.69
    ctica
    0.68
     Invasion
    0.67
    Activations Density 0.016%

    No Known Activations