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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. 12-RES-JB
    11. 3860
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    Explanations

    words related to legal and procedural actions or terms

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    words related to processes, actions, and transformations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     challeng
    -0.93
     millenn
    -0.88
     mosqu
    -0.87
     behavi
    -0.86
     metic
    -0.84
     traged
    -0.84
    senal
    -0.82
    ThumbnailImage
    -0.79
    Þ
    -0.79
     conflic
    -0.79
    POSITIVE LOGITS
    ed
    1.13
    ated
    0.96
    ledged
    0.94
    ioned
    0.90
    ued
    0.90
    aled
    0.86
    alled
    0.81
    anted
    0.81
    atted
    0.80
    uated
    0.80
    Activations Density 0.128%

    No Known Activations