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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. 1-RES-JB
    11. 23271
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    Explanations

    adjectives related to textures, particularly focusing on descriptions of soft or smooth textures

    oai_token-act-pair · gpt-3.5-turbo

    descriptive adjectives related to textures and environmental conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arent
    -0.88
    inet
    -0.86
    VPN
    -0.84
    mong
    -0.80
    itism
    -0.80
    eva
    -0.78
    rage
    -0.77
    gression
    -0.77
    ition
    -0.76
    FactoryReloaded
    -0.76
    POSITIVE LOGITS
     dusty
    0.98
     yellow
    0.95
     snowy
    0.95
     green
    0.94
     pink
    0.94
     rainy
    0.93
     sticky
    0.91
     cloudy
    0.90
     seas
    0.89
     white
    0.89
    Activations Density 0.034%

    No Known Activations