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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. 8-RES-JB
    11. 23812
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    Explanations

    phrases related to reasoning, analysis, and evaluation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to decision-making and evaluation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    blogspot
    -0.58
     fixme
    -0.54
     Forestry
    -0.54
    dar
    -0.53
     paperback
    -0.52
     Tone
    -0.51
     Pwr
    -0.51
    moon
    -0.51
    lycer
    -0.50
     Beverly
    -0.50
    POSITIVE LOGITS
     desired
    0.65
     disparate
    0.65
     versus
    0.65
    ults
    0.61
     truly
    0.59
     optimal
    0.59
     worthwhile
    0.58
     meaningful
    0.58
     favorably
    0.57
     different
    0.55
    Activations Density 1.457%

    No Known Activations