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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. 10-RES-JB
    6. 20846
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    INDEX
    Explanations

    mentions of snow or winter-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to snow or snowy conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ysis
    -0.90
    ENTION
    -0.89
    ISTER
    -0.76
     Jinn
    -0.71
    YA
    -0.71
    ########
    -0.69
     qualitative
    -0.67
    aird
    -0.64
     educ
    -0.63
    ister
    -0.63
    POSITIVE LOGITS
    flake
    1.79
    fall
    1.22
    mobile
    1.17
    storm
    1.15
    storms
    1.15
    boarding
    1.13
    tro
    1.13
    balls
    1.07
    drop
    1.03
    mob
    1.03
    Activations Density 0.024%

    No Known Activations