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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. 6-RES-JB
    11. 13814
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of specific names, particularly individuals and possibly entities or symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ogen
    -0.87
    nel
    -0.78
    anooga
    -0.78
    avage
    -0.77
    abeth
    -0.74
    ogens
    -0.73
    ifer
    -0.70
    win
    -0.69
    aton
    -0.69
    ellen
    -0.68
    POSITIVE LOGITS
    DragonMagazine
    1.05
    enance
    0.77
     salute
    0.71
    EStream
    0.67
    stanbul
    0.66
    ometimes
    0.65
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.65
     resil
    0.65
    eco
    0.64
    ãĥ¯
    0.64
    Activations Density 0.071%

    No Known Activations