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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. 1-RES-JB
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    INDEX
    Explanations

    mentions of the element "iron"

    oai_token-act-pair · gpt-3.5-turbo

    references to iron in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Anonymous
    -0.77
    earch
    -0.76
    Orig
    -0.75
    sound
    -0.75
     Vide
    -0.73
    VICE
    -0.72
    Rated
    -0.70
    ATS
    -0.68
    ean
    -0.67
    IRED
    -0.67
    POSITIVE LOGITS
     iron
    1.24
     ore
    1.04
    clad
    1.04
     skillet
    0.95
     fist
    0.93
     steak
    0.93
    chest
    0.92
     sausage
    0.87
    worm
    0.86
     furnace
    0.83
    Activations Density 0.006%

    No Known Activations