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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. 7-RES-JB
    11. 14451
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    Explanations

    numerical codes that are likely part of structured data entries

    oai_token-act-pair · gpt-3.5-turbo

    numerical identifiers related to items or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itably
    -0.78
     gain
    -0.71
    etimes
    -0.71
    ãĤ¶
    -0.68
    oglu
    -0.67
    thirds
    -0.67
     statutes
    -0.66
     warranties
    -0.65
     pasture
    -0.65
    ãĤ¹ãĥĪ
    -0.62
    POSITIVE LOGITS
    CB
    0.90
    Reviewer
    0.87
    DragonMagazine
    0.80
    Quality
    0.75
    Columb
    0.74
    代
    0.71
    Jackson
    0.70
    HM
    0.68
    NK
    0.66
    102
    0.66
    Activations Density 0.039%

    No Known Activations