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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. 4-RES-JB
    11. 19727
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    Explanations

    phrases related to software development or technology (specifically related to development kits)

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Kit" or "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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    llor
    -0.76
    phrine
    -0.75
    unct
    -0.74
    arching
    -0.73
     steroids
    -0.73
     foss
    -0.72
    pmwiki
    -0.71
    issance
    -0.71
    theless
    -0.70
    cffff
    -0.68
    POSITIVE LOGITS
    chens
    1.67
    chen
    1.27
    kat
    1.07
    amura
    1.05
    Kat
    1.05
    atsu
    0.95
     Kat
    0.89
    abul
    0.86
     Kats
    0.85
    Kit
    0.83
    Activations Density 0.014%

    No Known Activations