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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. 1644
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    Explanations

    phrases related to abstract concepts or symbolic representations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific symbols or glyphs that seem to denote ideas or concepts

    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
     scatter
    -0.73
     Mous
    -0.73
     shroud
    -0.71
     dispers
    -0.71
     Belg
    -0.70
    sembly
    -0.70
     march
    -0.68
     Manhattan
    -0.68
     scattering
    -0.67
     spiral
    -0.67
    POSITIVE LOGITS
    ľ
    1.61
    ¬
    1.30
    ¼
    1.21
    ¡
    1.16
    ®
    1.13
    º
    1.13
    Ń
    1.11
    ¯
    1.10
    ¹
    1.08
    ²
    1.07
    Activations Density 0.345%

    No Known Activations