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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. 3-RES-JB
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    Explanations

    mentions of the word "Elephant"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Elephant" and variations of the word

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sburgh
    -0.80
    aldehyde
    -0.71
     FAA
    -0.70
    enthal
    -0.69
     Kenobi
    -0.69
    raints
    -0.67
    DERR
    -0.67
     Kislyak
    -0.67
    ////////////////
    -0.67
     ABE
    -0.67
    POSITIVE LOGITS
    venth
    1.21
    phant
    1.19
    oton
    0.99
    ven
    0.92
    oby
    0.87
    fter
    0.86
    reon
    0.85
    Ele
    0.85
    lect
    0.84
    phies
    0.82
    Activations Density 0.010%

    No Known Activations