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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
    11. 2620
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    INDEX
    Explanations

    mentions of the word "pawn"

    oai_token-act-pair · gpt-3.5-turbo

    references to pawns 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
    OME
    -0.69
    artney
    -0.68
    SOURCE
    -0.67
    ombs
    -0.65
    omes
    -0.64
    avage
    -0.64
    ensitivity
    -0.63
    IDENT
    -0.63
    inness
    -0.63
     Austral
    -0.62
    POSITIVE LOGITS
     pawn
    1.18
    sylvania
    0.98
    swer
    0.93
    DragonMagazine
    0.92
    itives
    0.85
    theless
    0.85
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.82
    åĭ
    0.79
    shop
    0.79
    hyde
    0.79
    Activations Density 0.012%

    No Known Activations