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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. 6375
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    Explanations

    numerical values related to quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to the number 350 in various contexts

    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
    lich
    -0.82
    ors
    -0.77
    orage
    -0.75
    joined
    -0.74
    atics
    -0.73
    atic
    -0.72
    skirts
    -0.72
    ells
    -0.71
    prise
    -0.71
    esty
    -0.70
    POSITIVE LOGITS
    ï¸
    1.05
    lihood
    0.71
    glers
    0.70
    IRD
    0.67
    LECT
    0.66
    vernment
    0.62
    ensation
    0.61
     cans
    0.61
    ptin
    0.61
    é¾įåĸļ士
    0.61
    Activations Density 0.022%

    No Known Activations