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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. 6-RES-JB
    11. 23757
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    INDEX
    Explanations

    mentions of snow-related imagery

    oai_token-act-pair · gpt-3.5-turbo

    references to snow in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ENTION
    -0.85
    igious
    -0.76
    aird
    -0.74
    ISTER
    -0.71
     plur
    -0.67
    roit
    -0.67
    ysis
    -0.67
    ister
    -0.66
    ########
    -0.66
     Jinn
    -0.65
    POSITIVE LOGITS
    flake
    1.67
    boarding
    1.06
    fall
    1.02
    tro
    0.99
    balls
    0.98
    storms
    0.98
    storm
    0.96
     Leopard
    0.93
    falls
    0.90
    mobile
    0.90
    Activations Density 0.023%

    No Known Activations