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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. 7158
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    Explanations

    words and phrases related to transportation and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to the abbreviation "MT" and its associated context in a specific domain

    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
    hold
    -0.84
    pta
    -0.66
    flies
    -0.65
    fman
    -0.61
    cific
    -0.61
    holder
    -0.60
    FTWARE
    -0.59
    é¾įåĸļ士
    -0.58
    amus
    -0.58
     Pew
    -0.58
    POSITIVE LOGITS
    MT
    1.20
    ypes
    0.82
    ertodd
    0.81
    ullah
    0.80
    ument
    0.77
    olkien
    0.77
    ength
    0.77
    TL
    0.74
    ulhu
    0.73
    mt
    0.72
    Activations Density 0.007%

    No Known Activations