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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. 7-RES-JB
    11. 7503
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    Explanations

    verbs related to problem-solving

    oai_token-act-pair · gpt-3.5-turbo

    terms related to problem-solving

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    umption
    -0.72
    watching
    -0.72
    treated
    -0.72
    icipated
    -0.70
    listed
    -0.69
    ardy
    -0.69
     indu
    -0.68
    eners
    -0.67
    oths
    -0.67
    mare
    -0.66
    POSITIVE LOGITS
     solve
    0.97
     solving
    0.84
    ĵĺ
    0.82
     puzzles
    0.81
    vable
    0.80
     Mysteries
    0.80
     Puzzles
    0.77
    ERO
    0.75
    itaire
    0.72
    idian
    0.72
    Activations Density 0.026%

    No Known Activations