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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
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    Explanations

    mentions of the word "Elephants"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Elephant" in various contexts

    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
    sburgh
    -0.80
    raints
    -0.79
     Papers
    -0.71
    DERR
    -0.71
     Office
    -0.68
     McDonnell
    -0.66
    aldehyde
    -0.65
    raint
    -0.65
     Responsibility
    -0.65
    NOW
    -0.65
    POSITIVE LOGITS
    venth
    1.54
    phant
    1.39
    ven
    1.10
    fter
    1.07
    ves
    0.92
    ighth
    0.90
    scribe
    0.86
    azar
    0.86
    vent
    0.84
    gest
    0.83
    Activations Density 0.038%

    No Known Activations