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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. 19135
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    oai_token-act-pair · gpt-3.5-turbo

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    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
     muddy
    -0.67
     unfocusedRange
    -0.66
     Alz
    -0.65
    apeake
    -0.64
     Johnston
    -0.61
    terday
    -0.57
    llor
    -0.57
     Yard
    -0.57
     Territ
    -0.56
    ãģĨ
    -0.56
    POSITIVE LOGITS
    atical
    1.39
    atics
    1.24
    boys
    1.14
    atically
    1.11
    fare
    1.11
    club
    1.08
    fiction
    1.05
    atic
    1.03
    artist
    0.97
    igans
    0.96
    Activations Density 0.032%

    No Known Activations