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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. 19597
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    Explanations

    positive adjectives related to colors and environments

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to vibrancy and liveliness

    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
    berman
    -0.85
    thodox
    -0.72
    reditary
    -0.72
    hiba
    -0.70
    pta
    -0.67
    pper
    -0.67
    DoS
    -0.67
    ordan
    -0.66
    FU
    -0.64
    usted
    -0.64
    POSITIVE LOGITS
     vibrant
    0.92
     colours
    0.90
     colors
    0.87
     imagination
    0.80
    cape
    0.75
     colour
    0.73
     green
    0.73
     GOODMAN
    0.72
     entreprene
    0.71
     imag
    0.71
    Activations Density 0.016%

    No Known Activations