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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. 1-RES-JB
    11. 2269
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    INDEX
    Explanations

    average values or ratings in a list

    oai_token-act-pair · gpt-3.5-turbo

    statistical averages and measures related to performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pton
    -0.83
    ho
    -0.83
    wu
    -0.81
    pher
    -0.79
    çīĪ
    -0.76
    stra
    -0.73
    binding
    -0.71
    acs
    -0.70
    åĤ
    -0.69
    press
    -0.69
    POSITIVE LOGITS
     Average
    1.07
     Rating
    0.93
    Average
    0.91
    imates
    0.85
    enhagen
    0.83
     Score
    0.82
     Ratio
    0.80
     Ranking
    0.79
     Surprise
    0.78
     Rates
    0.78
    Activations Density 0.009%

    No Known Activations