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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. 17161
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    Explanations

    phrases related to lists or enumerations

    oai_token-act-pair · gpt-3.5-turbo

    commas in the text

    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
    KEN
    -0.73
    ota
    -0.71
    eur
    -0.71
    wyn
    -0.67
    endo
    -0.67
     è£ıè
    -0.66
    ¯
    -0.64
    WER
    -0.63
    ery
    -0.63
    dden
    -0.63
    POSITIVE LOGITS
     including
    1.60
    including
    1.45
     Including
    1.42
     totaling
    1.34
     includ
    1.30
     ranging
    1.22
     spanning
    1.19
     comprising
    1.11
     plus
    1.08
     culminating
    1.07
    Activations Density 0.348%

    No Known Activations