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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21365
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    INDEX
    Explanations

    color-related descriptors like 'lighter', 'darker', and color names in a variety of contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to varying shades and tones of color

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igslist
    -0.74
     Unlimited
    -0.71
    çīĪ
    -0.69
    senal
    -0.68
    went
    -0.67
    Pad
    -0.67
    soDeliveryDate
    -0.67
    isSpecialOrderable
    -0.66
    berus
    -0.65
     Contracts
    -0.65
    POSITIVE LOGITS
     colored
    1.22
     coloured
    1.17
     brown
    1.12
     tint
    1.11
     complexion
    1.10
    skinned
    1.08
     hue
    1.08
    colored
    1.05
    ish
    1.04
     gray
    1.02
    Activations Density 0.084%

    No Known Activations