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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. 8-RES-JB
    11. 1982
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    Explanations

    names of people, particularly focusing on the name "Joel" at varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Joel" and to a lesser extent, references to "Ellie" and "Haskell"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hib
    -0.87
    forward
    -0.76
    rection
    -0.71
    FACE
    -0.71
    illion
    -0.70
    hou
    -0.65
    bath
    -0.64
    club
    -0.63
     resil
    -0.62
    role
    -0.62
    POSITIVE LOGITS
     McH
    0.82
    lein
    0.79
    itably
    0.75
    inic
    0.67
     Joel
    0.67
     Kot
    0.65
    idable
    0.65
    ucky
    0.65
    uca
    0.64
    odox
    0.64
    Activations Density 0.063%

    No Known Activations