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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. 7-RES-JB
    11. 253
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    INDEX
    Explanations

    identifying visual attributes such as colors, patterns, and physical characteristics

    oai_token-act-pair · gpt-3.5-turbo

    specific terms related to colors, patterns, and descriptions of objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bably
    -0.74
    igious
    -0.74
    raq
    -0.70
    quickShipAvailable
    -0.70
    ealous
    -0.69
    BIL
    -0.65
    Internal
    -0.64
    pause
    -0.63
    izarre
    -0.63
    utenberg
    -0.62
    POSITIVE LOGITS
    stadt
    0.76
     flakes
    0.69
    ovych
    0.69
    cloth
    0.66
    ioxide
    0.65
    oxide
    0.62
     syndrome
    0.62
     stripes
    0.59
    reme
    0.59
     slic
    0.59
    Activations Density 0.327%

    No Known Activations