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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. 24131
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    Explanations

    phrases related to actions or changes in a specific context

    oai_token-act-pair · gpt-3.5-turbo

    the word "which" 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
    Behind
    -0.71
    let
    -0.68
    grim
    -0.63
    ting
    -0.63
    politics
    -0.63
    ³³³³³³³³
    -0.62
    FN
    -0.62
    Bas
    -0.62
    bas
    -0.61
    TING
    -0.61
    POSITIVE LOGITS
    soever
    1.13
    xual
    0.88
     resulted
    0.78
     contrasts
    0.77
    tains
    0.77
     connects
    0.77
     brings
    0.74
     [|
    0.73
     specializes
    0.73
    ĸļ
    0.72
    Activations Density 0.110%

    No Known Activations