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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
    11. 12426
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    Explanations

    adjectives related to qualities such as well-timed, well-known, well-read, and well-kept

    oai_token-act-pair · gpt-3.5-turbo

    attributes related to quality, integrity, and reputation

    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
    Database
    -0.65
    anos
    -0.64
    senal
    -0.64
     Treaty
    -0.63
    ©¶æ
    -0.62
    pora
    -0.62
    ģ«
    -0.61
    irie
    -0.61
    ¥µ
    -0.60
    cake
    -0.60
    POSITIVE LOGITS
    umenthal
    0.88
    ubric
    0.78
    kered
    0.76
    nered
    0.73
    rand
    0.71
    ilda
    0.67
    jury
    0.65
     Clancy
    0.65
     Koch
    0.63
    nosis
    0.63
    Activations Density 0.142%

    No Known Activations