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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. 22447
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    Explanations

    bold statements or ideas

    oai_token-act-pair · gpt-3.5-turbo

    strong adjectives related to boldness

    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
     Cheong
    -0.93
    OTOS
    -0.88
    rogens
    -0.71
    yer
    -0.69
    yip
    -0.67
    aito
    -0.67
    ITNESS
    -0.67
    UTERS
    -0.65
    utra
    -0.65
    opes
    -0.64
    POSITIVE LOGITS
    faced
    1.07
    bold
    1.00
     bold
    1.00
    face
    1.00
    ness
    0.96
     Ital
    0.93
    er
    0.88
    itude
    0.85
     ital
    0.81
    nesses
    0.76
    Activations Density 0.016%

    No Known Activations