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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. 9466
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    Explanations

    numerical quantities and statistics related terms

    oai_token-act-pair · gpt-3.5-turbo

    numeric data related to demographics and counts

    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
    cffffcc
    -0.95
    ãĤ´ãĥ³
    -0.76
    ĪĴ
    -0.73
    eln
    -0.65
    ĺħ
    -0.62
    ewater
    -0.58
    igun
    -0.57
    invoke
    -0.56
    ivot
    -0.56
    selage
    -0.56
    POSITIVE LOGITS
     per
    0.83
     involved
    0.83
     required
    0.80
     needed
    0.79
     available
    0.75
     consumed
    0.74
     devoted
    0.72
     permissible
    0.69
    ifiable
    0.68
    izable
    0.68
    Activations Density 0.334%

    No Known Activations