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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. 8-RES-JB
    11. 20082
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    Explanations

    different shades of colors

    oai_token-act-pair · gpt-3.5-turbo

    color descriptions in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =-=-=-=-
    -0.84
    ========
    -0.79
     Manual
    -0.76
     Loan
    -0.75
    RIPT
    -0.75
     Inspect
    -0.73
    ĥ
    -0.72
    ernel
    -0.72
    Deal
    -0.71
    ISTORY
    -0.71
    POSITIVE LOGITS
     dye
    1.18
     hue
    1.16
     tint
    1.14
    ish
    1.08
     coloured
    1.07
     colored
    1.07
     coloring
    1.03
     color
    1.03
     striped
    1.01
     accents
    1.00
    Activations Density 0.091%

    No Known Activations