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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. 9-RES-JB
    11. 20022
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    INDEX
    Explanations

    financial terms or mentions of standard values

    oai_token-act-pair · gpt-3.5-turbo

    references to standards or established benchmarks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lez
    -0.84
    asus
    -0.75
     destro
    -0.72
    acan
    -0.71
    shit
    -0.70
    cig
    -0.67
    amia
    -0.67
    wild
    -0.67
    activate
    -0.66
    Rus
    -0.65
    POSITIVE LOGITS
     deviation
    1.58
     deviations
    1.39
     bearer
    1.39
    ization
    1.29
    ised
    1.27
    isation
    1.12
    izes
    1.00
    ized
    1.00
    izations
    0.98
    izing
    0.98
    Activations Density 0.034%

    No Known Activations