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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. 9-RES-JB
    11. 9912
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    Explanations

    specific punctuation patterns

    oai_token-act-pair · gpt-3.5-turbo

    structured data or code segments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     footing
    -0.55
    .""
    -0.55
    radical
    -0.54
    being
    -0.52
    rad
    -0.51
    older
    -0.51
    cuts
    -0.50
    nor
    -0.50
    cerning
    -0.50
     compromise
    -0.49
    POSITIVE LOGITS
    ↵
    0.77
     Franch
    0.59
     STORY
    0.55
    iona
    0.54
    ????????
    0.53
     Lens
    0.53
     Adinida
    0.52
     Phi
    0.52
    rium
    0.51
    ENG
    0.50
    Activations Density 0.540%

    No Known Activations