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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. 3-RES-JB
    11. 22651
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    Explanations

    adjectives related to extreme cold or wintry conditions

    oai_token-act-pair · gpt-3.5-turbo

    adjectives describing extreme environmental conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alter
    -0.83
    edit
    -0.79
    orer
    -0.79
    ership
    -0.78
    inator
    -0.78
    Farm
    -0.76
    orers
    -0.75
    ition
    -0.74
    strap
    -0.73
    itus
    -0.72
    POSITIVE LOGITS
     icy
    1.05
     snowy
    1.00
     crust
    0.93
     seas
    0.89
     shores
    0.88
     crimson
    0.85
     surfaces
    0.82
     plains
    0.82
     violet
    0.79
     salty
    0.79
    Activations Density 0.033%

    No Known Activations