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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. 1965
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    INDEX
    Explanations

    phrases related to specific circumstances or situations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific situations or conditions

    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
    imilation
    -0.77
    rik
    -0.77
    cott
    -0.75
    ocide
    -0.73
     Flavoring
    -0.73
    artisan
    -0.72
    iom
    -0.71
    forestation
    -0.71
    yright
    -0.71
    haul
    -0.71
    POSITIVE LOGITS
     circumstances
    1.26
     surrounding
    0.93
     circumstance
    0.90
     permitting
    0.81
     situations
    0.80
     transpired
    0.78
     involving
    0.78
     intervened
    0.78
     arose
    0.77
    uations
    0.74
    Activations Density 0.026%

    No Known Activations