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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. 2-RES-JB
    11. 15543
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    Explanations

    financial and statistical information, including percentages, numbers, and monetary values

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and percentages related to statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elvet
    -0.63
    afety
    -0.62
    ulous
    -0.59
    rolet
    -0.59
    ensibly
    -0.58
    iola
    -0.58
    iven
    -0.58
    raints
    -0.57
    gue
    -0.57
    furt
    -0.57
    POSITIVE LOGITS
     DEFENSE
    0.64
     RBI
    0.61
    75
    0.58
    44
    0.54
     Yog
    0.53
     à¤
    0.53
    STR
    0.52
    64
    0.51
     SPORTS
    0.51
    45
    0.51
    Activations Density 0.403%

    No Known Activations