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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. 9-RES-JB
    11. 6123
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    INDEX
    Explanations

    references to quantities or amounts

    oai_token-act-pair · gpt-3.5-turbo

    expressions of quantity or measurement related to experiences or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾
    -0.77
     Laun
    -0.71
    =/
    -0.70
    çī
    -0.69
    umbn
    -0.69
    £ı
    -0.68
    escription
    -0.67
    ursday
    -0.67
     Hels
    -0.66
    Ĥ¬
    -0.66
    POSITIVE LOGITS
     depends
    0.80
     sacrificed
    0.80
     depend
    0.77
     appreciated
    0.77
     expend
    0.74
     sway
    0.73
     impacted
    0.72
     affected
    0.71
     sacrifice
    0.71
    ago
    0.71
    Activations Density 0.150%

    No Known Activations