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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

    references to things being iconic

    oai_token-act-pair · gpt-3.5-turbo

    references to iconic elements or symbols in various contexts

    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
    THER
    -0.75
    ajor
    -0.75
    ften
    -0.70
    ©¶æ
    -0.69
    vere
    -0.68
    VI
    -0.68
    gans
    -0.68
    secution
    -0.67
    neg
    -0.67
    ttp
    -0.66
    POSITIVE LOGITS
     iconic
    1.06
     landmarks
    0.87
     recognizable
    0.80
     emblem
    0.79
     icons
    0.77
     icon
    0.76
     brands
    0.74
    wcs
    0.73
    arily
    0.72
     symbol
    0.71
    Activations Density 0.015%

    No Known Activations