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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. 9-RES-JB
    11. 14143
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    Explanations

    phrases related to processes or actions that are ongoing or in progress

    oai_token-act-pair · gpt-3.5-turbo

    references to processes, particularly those that involve stages or steps in development

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anie
    -0.77
    href
    -0.71
    each
    -0.68
    folk
    -0.67
    rand
    -0.62
     derives
    -0.61
    fish
    -0.61
    fare
    -0.60
    worn
    -0.60
     replied
    -0.60
    POSITIVE LOGITS
     midst
    1.50
     thro
    1.21
     forefront
    1.19
     vicinity
    1.11
     grips
    0.99
     fray
    0.99
     process
    0.98
     same
    0.95
     middle
    0.95
     spotlight
    0.91
    Activations Density 0.114%

    No Known Activations