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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. 7-RES-JB
    11. 10022
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    Explanations

    numbers and percentage values

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to percentages and statistical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gif
    -0.64
     Cosponsors
    -0.63
    photos
    -0.60
     undercover
    -0.58
    podcast
    -0.56
     Journalism
    -0.56
    hid
    -0.56
    UGC
    -0.55
     FOIA
    -0.54
     Guilty
    -0.54
    POSITIVE LOGITS
     increments
    0.91
    maximum
    0.79
    elsius
    0.74
     parity
    0.72
     trunc
    0.72
     +/-
    0.71
    depending
    0.71
    renheit
    0.70
     respectively
    0.70
     equivalent
    0.69
    Activations Density 1.194%

    No Known Activations