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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    occurrences of the word "return"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "return" with varying frequencies

    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
    achy
    -0.73
    PLIED
    -0.71
    RF
    -0.69
    anooga
    -0.67
    ©¶æ¥µ
    -0.67
    ĨĴ
    -0.66
    nut
    -0.64
    heon
    -0.64
    DOWN
    -0.64
     precursor
    -0.63
    POSITIVE LOGITS
     shore
    0.97
     haunt
    0.88
    asted
    0.79
     pasture
    0.78
     revive
    0.78
     greet
    0.74
     Auschwitz
    0.72
    wards
    0.72
     date
    0.71
     finish
    0.69
    Activations Density 0.140%

    No Known Activations