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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. 6-RES-JB
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    Explanations

    specific years related to Appalachian State University

    oai_token-act-pair · gpt-3.5-turbo

    references to years and numerical values related to events or data in a historical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uden
    -0.80
    gets
    -0.75
     compr
    -0.74
    matically
    -0.73
    arted
    -0.72
    uyomi
    -0.70
    mes
    -0.70
    printed
    -0.68
    pled
    -0.68
    alez
    -0.67
    POSITIVE LOGITS
    %:
    0.76
    ASC
    0.74
     SHARES
    0.72
    ¯¯¯¯
    0.71
     cents
    0.70
    EMENT
    0.70
    80
    0.70
    çĶ°
    0.70
    HAEL
    0.69
    ropolitan
    0.68
    Activations Density 0.053%

    No Known Activations