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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. 3-RES-JB
    11. 3071
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    Explanations

    words related to the sports team "Roosters" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word 'roast' and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lehem
    -0.81
    natureconservancy
    -0.73
     grandchildren
    -0.72
    displayText
    -0.72
    thora
    -0.71
     indisp
    -0.66
    ĻĤ
    -0.65
     uninsured
    -0.64
    aucuses
    -0.63
    --------------------------------------------------------
    -0.63
    POSITIVE LOGITS
    velt
    0.94
    Redditor
    0.82
    imaru
    0.73
     Janeiro
    0.72
    runner
    0.69
    stown
    0.68
    lette
    0.67
    hire
    0.66
    eco
    0.66
    walk
    0.65
    Activations Density 0.126%

    No Known Activations