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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. 8947
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    INDEX
    Explanations

    numerical information, specifically numbers and units

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical estimates or percentage values

    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
    rique
    -0.70
     Franch
    -0.65
     Mour
    -0.64
     dishes
    -0.63
    anamo
    -0.62
    nda
    -0.62
     Dish
    -0.62
     dish
    -0.61
    otti
    -0.60
     Ago
    -0.60
    POSITIVE LOGITS
    Higher
    1.15
     exceeded
    1.13
    higher
    1.11
    reshold
    1.09
    Hig
    1.09
     fluct
    1.07
     tripled
    1.06
     exceed
    1.05
     incre
    1.05
    integer
    1.04
    Activations Density 0.941%

    No Known Activations