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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. 6-RES-JB
    11. 12846
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to barriers and restrictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    prime
    -0.83
    onso
    -0.73
    medi
    -0.70
    ettel
    -0.67
    paces
    -0.65
    infeld
    -0.65
     PLUS
    -0.65
     tremend
    -0.64
    educ
    -0.64
    jen
    -0.64
    POSITIVE LOGITS
     arsen
    0.64
     coats
    0.61
     clouds
    0.61
     clad
    0.61
     caut
    0.60
     hides
    0.60
    Footnote
    0.60
    bons
    0.58
     adorned
    0.58
     Clouds
    0.58
    Activations Density 0.145%

    No Known Activations