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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. 1-RES-JB
    11. 765
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    Explanations

    specific items or entities that are being mentioned as part of a larger group or collection

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "included" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rise
    -0.76
    awar
    -0.70
    rait
    -0.68
    aptic
    -0.67
    ethy
    -0.67
    aline
    -0.64
    ipe
    -0.64
     wave
    -0.64
     ascend
    -0.63
    sis
    -0.63
    POSITIVE LOGITS
     prominently
    0.94
     included
    0.86
     Included
    0.85
     INCLUD
    0.81
     Include
    0.78
    ãĤ´
    0.77
    mast
    0.75
    anamo
    0.73
     include
    0.73
    HAM
    0.67
    Activations Density 0.016%

    No Known Activations