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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 5017
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    undai
    -0.79
    izons
    -0.78
    ivable
    -0.78
     wre
    -0.73
    ailability
    -0.73
    uce
    -0.71
     elim
    -0.70
    eatures
    -0.69
     wreck
    -0.68
     tremend
    -0.68
    POSITIVE LOGITS
     TBD
    0.87
     Unable
    0.81
     Provided
    0.76
     Exactly
    0.76
     Previous
    0.75
     Originally
    0.74
     When
    0.73
     Correct
    0.73
     Beware
    0.73
    *)
    0.72
    Activations Density 0.071%

    No Known Activations