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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. 8500
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    INDEX
    Explanations

    adverbs and adverbial phrases indicating intensity or degree

    oai_token-act-pair · gpt-3.5-turbo

    words indicating frequency or extent

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ouf
    -0.63
    venant
    -0.62
    estead
    -0.61
    enko
    -0.60
    ido
    -0.59
     dome
    -0.58
     boon
    -0.58
     Buster
    -0.57
    atz
    -0.57
    rift
    -0.57
    POSITIVE LOGITS
    sever
    0.74
    undreds
    0.69
     unrelated
    0.68
    asonable
    0.67
    anism
    0.67
     unspecified
    0.67
     unconventional
    0.66
    technical
    0.66
    different
    0.66
     undisclosed
    0.65
    Activations Density 0.242%

    No Known Activations