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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. 6-RES-JB
    11. 23827
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    Explanations

    names of places or persons

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Carroll" and related contexts or associations within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aciously
    -0.84
    bsp
    -0.76
     Gutenberg
    -0.73
    uous
    -0.72
     debtor
    -0.70
    ologist
    -0.69
    gers
    -0.68
    ifier
    -0.68
    EMP
    -0.67
    ocr
    -0.67
    POSITIVE LOGITS
    sburg
    1.03
     Carroll
    0.98
     Gardens
    0.88
     Shelby
    0.82
    mont
    0.79
    ton
    0.79
    dale
    0.78
    nuts
    0.75
    anut
    0.72
    aii
    0.71
    Activations Density 0.021%

    No Known Activations