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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. 10-RES-JB
    11. 8270
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    Explanations

    phrases related to processes or methods

    oai_token-act-pair · gpt-3.5-turbo

    connections related to questions and inquiry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rower
    -0.80
     newcomer
    -0.73
     researcher
    -0.71
     interviewer
    -0.70
    ĸļ
    -0.68
    ologue
    -0.68
     photographer
    -0.68
     entrepreneur
    -0.67
     felon
    -0.67
     reporter
    -0.66
    POSITIVE LOGITS
    ahs
    1.37
    angs
    1.36
    isons
    1.31
    doms
    1.30
    stals
    1.29
    irs
    1.29
    onds
    1.29
    Rs
    1.28
    Ds
    1.27
    asers
    1.25
    Activations Density 0.873%

    No Known Activations