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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. 11730
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    Explanations

    words related to written or printed material such as books or documents

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "book" and its variations in different contexts

    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
     Tiff
    -0.68
     educator
    -0.67
     enlight
    -0.67
     Goodman
    -0.66
     Conversation
    -0.66
    ĺħ
    -0.65
     educators
    -0.64
     Subtle
    -0.64
     passionately
    -0.62
     Torrent
    -0.62
    POSITIVE LOGITS
    ends
    0.94
    alled
    0.88
    uled
    0.88
    emark
    0.85
    ifiable
    0.85
    arbon
    0.84
    marks
    0.84
    ending
    0.82
    ulated
    0.82
    rarily
    0.81
    Activations Density 0.190%

    No Known Activations