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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. 5632
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    Explanations

    numbers related to the 90s

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the number 90 in various contexts

    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
    board
    -0.75
    wan
    -0.73
    lay
    -0.72
    lish
    -0.71
    seeing
    -0.70
    stand
    -0.70
    pocket
    -0.69
    Redd
    -0.68
    maid
    -0.68
    wered
    -0.66
    POSITIVE LOGITS
    %"
    0.87
     ILCS
    0.86
    %:
    0.86
    80
    0.86
    idth
    0.85
     degrees
    0.84
    orsi
    0.81
    ruciating
    0.80
    yip
    0.80
    º
    0.80
    Activations Density 0.050%

    No Known Activations