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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. 9-RES-JB
    11. 2423
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    Explanations

    numbers indicating a specific decade

    oai_token-act-pair · gpt-3.5-turbo

    the repeated presence of 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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lish
    -0.77
    board
    -0.76
    pocket
    -0.75
    gets
    -0.71
    wan
    -0.71
    untu
    -0.71
    wered
    -0.69
    seeing
    -0.67
    maid
    -0.66
    lings
    -0.65
    POSITIVE LOGITS
    %:
    1.04
    %"
    0.87
    %;
    0.85
    %
    0.83
    º
    0.81
     percent
    0.80
     cents
    0.80
     degrees
    0.80
    °
    0.78
    %-
    0.77
    Activations Density 0.091%

    No Known Activations