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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. 7-RES-JB
    11. 11013
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    Explanations

    numerical values in code, especially related to variables

    oai_token-act-pair · gpt-3.5-turbo

    references to variable or data values in programming contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ooks
    -0.77
    ¯¯¯¯
    -0.74
    ocamp
    -0.70
    dar
    -0.70
    arij
    -0.69
    ned
    -0.68
    ¯¯
    -0.68
    ility
    -0.67
    rieg
    -0.66
    thood
    -0.65
    POSITIVE LOGITS
     value
    0.81
     values
    0.75
     computed
    0.72
    variable
    0.72
     stored
    0.70
     thereof
    0.68
    values
    0.67
    EStream
    0.67
     fluct
    0.66
    Quantity
    0.66
    Activations Density 0.025%

    No Known Activations