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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. 14162
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    Explanations

    numbers related to percentages

    oai_token-act-pair · gpt-3.5-turbo

    references to the number 90 in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    wan
    -0.79
    lay
    -0.77
    seeing
    -0.74
    board
    -0.71
    stand
    -0.71
    pocket
    -0.70
    lish
    -0.69
    maid
    -0.67
    think
    -0.66
    friend
    -0.66
    POSITIVE LOGITS
    idth
    0.91
    %"
    0.89
    orsi
    0.89
    ruciating
    0.88
     degrees
    0.84
    %:
    0.83
    º
    0.82
     ILCS
    0.81
    °
    0.79
     degree
    0.77
    Activations Density 0.052%

    No Known Activations