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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. 4-RES-JB
    11. 15731
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    Explanations

    words related to political or organizational entities with the abbreviation "ML"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "ML" as a significant identifier or reference, likely indicating the context of a specific organization or subject area

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

    No Comments

    Negative Logits
    nces
    -0.79
    lished
    -0.75
    ricular
    -0.71
    forcing
    -0.68
     Normandy
    -0.67
     Wildcats
    -0.67
    ãĥĹ
    -0.67
    ãĥĦ
    -0.65
    imaru
    -0.64
    Pacific
    -0.64
    POSITIVE LOGITS
    ML
    0.92
    anguage
    0.89
    arge
    0.87
    TON
    0.85
    ibrary
    0.85
    ovember
    0.84
    aughter
    0.80
    endon
    0.79
    NF
    0.78
    ighters
    0.76
    Activations Density 0.008%

    No Known Activations