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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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    INDEX
    Explanations

    peculiar references to the term "Kit"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Kit" in various contexts

    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
    theless
    -0.78
    phrine
    -0.77
    xual
    -0.75
    pmwiki
    -0.75
     steroids
    -0.74
    cffffcc
    -0.73
     monop
    -0.70
    wcs
    -0.69
     silence
    -0.69
    cffff
    -0.69
    POSITIVE LOGITS
    chens
    1.59
    chen
    1.25
    kat
    1.05
    amura
    1.02
    Kat
    0.98
    atsu
    0.96
     Kats
    0.92
     Kat
    0.91
    Kit
    0.90
    abul
    0.88
    Activations Density 0.011%

    No Known Activations