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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. 1-RES-JB
    11. 23186
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    Explanations

    numbers related to quantities or measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific numeric code or identifier

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Osw
    -0.75
    swick
    -0.73
    oglobin
    -0.72
    eki
    -0.66
    isman
    -0.64
    rang
    -0.63
    ansen
    -0.63
    avia
    -0.63
    Reviewer
    -0.62
     proc
    -0.61
    POSITIVE LOGITS
    0002
    1.02
    ertodd
    1.00
    000
    1.00
    500
    0.98
     ILCS
    0.87
    mA
    0.84
    px
    0.83
    +)
    0.82
    0000
    0.79
    =#
    0.78
    Activations Density 0.023%

    No Known Activations