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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. 3623
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    Explanations

    sections of text that mention or refer to a noteworthy or significant piece of information or writing

    oai_token-act-pair · gpt-3.5-turbo

    references to written works or articles

    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
    elsius
    -0.94
     Predators
    -0.79
     Sector
    -0.64
     scrut
    -0.62
     Nadu
    -0.62
    iant
    -0.62
    aeda
    -0.60
     consultants
    -0.60
     Liberties
    -0.59
    iens
    -0.58
    POSITIVE LOGITS
    meal
    1.74
     piece
    0.87
    work
    0.83
    glass
    0.79
    umen
    0.79
    ridges
    0.78
    ngth
    0.76
    fare
    0.75
    breaker
    0.75
    hook
    0.73
    Activations Density 0.017%

    No Known Activations