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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. 10-RES-JB
    11. 16066
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    Explanations

    numbers related to the value 90

    oai_token-act-pair · gpt-3.5-turbo

    references to the number 90 across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    board
    -0.70
    lay
    -0.69
    gets
    -0.67
    teen
    -0.66
    untu
    -0.65
    wan
    -0.64
    holder
    -0.63
    folk
    -0.62
    sworth
    -0.62
    maid
    -0.61
    POSITIVE LOGITS
    %
    1.23
    %:
    1.18
    %"
    1.13
    %;
    1.11
     percent
    1.10
    %,
    1.08
    %-
    1.08
    %.
    1.04
    %),
    0.98
    %)
    0.98
    Activations Density 0.086%

    No Known Activations