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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. 1556
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    Explanations

    locations or places mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to local entities or settings

    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
    xual
    -0.84
    haar
    -0.82
    rett
    -0.81
    orst
    -0.76
    _-
    -0.75
    aurus
    -0.75
    awed
    -0.74
    ÙĴ
    -0.73
    rained
    -0.73
    uberty
    -0.72
    POSITIVE LOGITS
    ities
    0.92
     municipality
    0.89
     residents
    0.88
    ised
    0.88
     antid
    0.84
     town
    0.82
     resident
    0.82
     governments
    0.82
     government
    0.82
     branch
    0.81
    Activations Density 0.037%

    No Known Activations