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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

    mentions of the name "Pau"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names and key terms related to sports and notable incidents

    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
    ouri
    -0.83
    nton
    -0.81
    atom
    -0.80
    ships
    -0.78
    fen
    -0.77
    stars
    -0.72
    uli
    -0.72
    essee
    -0.71
    о
    -0.69
    edi
    -0.69
    POSITIVE LOGITS
     Hebdo
    0.93
     Pwr
    0.90
    orsi
    0.75
     possessions
    0.73
    ignty
    0.73
     Pau
    0.71
    ieth
    0.71
     WATCHED
    0.69
     Finals
    0.69
    VERTISEMENT
    0.68
    Activations Density 0.020%

    No Known Activations