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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. 8998
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    Explanations

    specific procedures or guidelines mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating guidelines or standards

    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
    edin
    -0.91
    grand
    -0.79
    ower
    -0.78
    hai
    -0.77
    cles
    -0.76
    beat
    -0.73
    loo
    -0.72
    nick
    -0.71
    fort
    -0.70
    alan
    -0.69
    POSITIVE LOGITS
     determining
    1.38
     accessing
    1.21
     constructing
    1.20
     assessing
    1.19
     evaluating
    1.19
     obtaining
    1.15
     detecting
    1.15
     selecting
    1.15
     storing
    1.14
    bidden
    1.14
    Activations Density 0.172%

    No Known Activations