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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. 8855
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    Explanations

    opinions or thoughts expressed as questions

    oai_token-act-pair · gpt-3.5-turbo

    inquiries and prompts for audience opinions

    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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    No Comments

    Negative Logits
     Adin
    -0.80
    vity
    -0.66
    iere
    -0.66
    uci
    -0.61
    gm
    -0.59
    toe
    -0.59
    ipher
    -0.59
     Immunity
    -0.58
    compan
    -0.58
    equipped
    -0.58
    POSITIVE LOGITS
     constitu
    0.76
     about
    0.75
     inspires
    0.74
    76561
    0.73
     favourite
    0.68
     ABOUT
    0.67
     motiv
    0.67
     deserves
    0.66
    orean
    0.65
     aloud
    0.64
    Activations Density 0.036%

    No Known Activations