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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. 2-RES-JB
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    Explanations

    the word "Pes" with various intensities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Pes" and its variations, indicating a focus on a specific currency or subject associated with it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Leary
    -0.89
    ãĤ¼ãĤ¦ãĤ¹
    -0.82
    姫
    -0.79
     thumbnail
    -0.77
    ãĥ¯ãĥ³
    -0.72
    GROUP
    -0.72
    FUL
    -0.68
     Loving
    -0.66
     GROUP
    -0.65
    IND
    -0.64
    POSITIVE LOGITS
     Pes
    1.36
    lyak
    1.16
    quet
    0.95
     pes
    0.91
    terday
    0.90
    kov
    0.89
    kens
    0.89
    atell
    0.88
    cius
    0.88
    creen
    0.85
    Activations Density 0.007%

    No Known Activations