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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. 2006
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    Explanations

    numbers that are part of a sequence

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and elements related to separation and support

    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
     Chili
    -0.85
    cel
    -0.78
    Brit
    -0.75
     367
    -0.73
     369
    -0.73
     275
    -0.72
     366
    -0.71
     370
    -0.71
     Helic
    -0.70
    kel
    -0.70
    POSITIVE LOGITS
     out
    1.50
     OUT
    1.36
    out
    1.32
     outs
    1.32
    OUT
    1.26
     Out
    1.25
    Out
    1.17
    outs
    1.15
     Outs
    1.03
     forth
    0.91
    Activations Density 0.193%

    No Known Activations