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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 18993
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    Explanations

    specific numbers related to statistics or quantities

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to populations and 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
    senal
    -0.82
    opia
    -0.75
     fame
    -0.75
    bart
    -0.74
     Gemini
    -0.67
    ãĤ´ãĥ³
    -0.64
    EStream
    -0.63
    eworld
    -0.62
    rill
    -0.62
    udic
    -0.62
    POSITIVE LOGITS
    teen
    0.72
     Spani
    0.69
     Swed
    0.68
     died
    0.68
     perished
    0.67
     percent
    0.66
     Britons
    0.66
     escaped
    0.65
    Thirty
    0.63
     rapes
    0.63
    Activations Density 0.420%

    No Known Activations