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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. 9832
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    Explanations

    words related to transformations or enhancements

    oai_token-act-pair · gpt-3.5-turbo

    action verbs or terms related to creation and change

    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
    uana
    -0.67
    wives
    -0.65
     reper
    -0.60
    ggle
    -0.59
    GET
    -0.57
     handc
    -0.56
     posit
    -0.56
    FORE
    -0.54
    otine
    -0.54
     traged
    -0.54
    POSITIVE LOGITS
    ed
    2.89
    ing
    1.93
    edly
    1.84
    edIn
    1.61
    ED
    1.47
    eds
    1.35
    ered
    1.21
    ioned
    1.18
    ned
    1.17
    es
    1.15
    Activations Density 0.346%

    No Known Activations