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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. 6-RES-JB
    11. 20266
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    Explanations

    large numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and measurements related to quantities or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leys
    -0.72
    ersen
    -0.68
    etsk
    -0.67
    ayers
    -0.63
    nington
    -0.62
    phabet
    -0.61
     havoc
    -0.60
    Ô
    -0.59
    grave
    -0.58
    ingers
    -0.58
    POSITIVE LOGITS
     magnitude
    0.80
    %.
    0.69
     centimeters
    0.69
    %-
    0.66
    239
    0.64
     thousand
    0.62
    ernal
    0.62
    INT
    0.62
    votes
    0.61
    803
    0.61
    Activations Density 0.154%

    No Known Activations