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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. 24554
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    Explanations

    words related to visual beauty or impactful quality

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "stunning" 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
    ©¶æ
    -1.13
    ppo
    -0.83
    uld
    -0.75
    ploma
    -0.72
    vernment
    -0.69
    pora
    -0.67
    ciplinary
    -0.67
     Polic
    -0.66
    REL
    -0.66
    claimer
    -0.66
    POSITIVE LOGITS
    ly
    1.20
    NESS
    0.81
    LY
    0.81
     stunning
    0.79
     visuals
    0.78
    issance
    0.77
     contrasts
    0.74
     naked
    0.73
    ulously
    0.73
     spectacle
    0.73
    Activations Density 0.008%

    No Known Activations