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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. 366
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    INDEX
    Explanations

    large numbers representing figures such as statistics or financial amounts

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data or statistics related to populations

    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
    •Prediction Features Layer 8 GPT2 Small

    No Comments

    Negative Logits
     newsp
    -0.71
     Urug
    -0.58
     pedd
    -0.57
     Volks
    -0.57
     Ner
    -0.57
     enthus
    -0.57
     fantas
    -0.56
     shake
    -0.54
     PTS
    -0.54
     pans
    -0.54
    POSITIVE LOGITS
    048
    1.25
    045
    1.16
    98
    1.15
    07
    1.13
    040
    1.12
    535
    1.12
    09
    1.11
    616
    1.11
    075
    1.11
    96
    1.11
    Activations Density 0.079%

    No Known Activations