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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. 2-RES-JB
    11. 22244
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    Explanations

    phrases related to seasonal trends, adjustments, and variations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to seasonal patterns and changes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    boa
    -0.75
    IVES
    -0.73
    yers
    -0.73
    rollers
    -0.73
    hua
    -0.72
    itsch
    -0.70
    nai
    -0.69
    rieg
    -0.69
    chy
    -0.68
    enez
    -0.68
    POSITIVE LOGITS
     seasonal
    1.00
     vegetables
    0.83
     aber
    0.77
     adjustment
    0.75
     fluctuations
    0.75
     mosqu
    0.73
     fruits
    0.72
     migrant
    0.71
     antip
    0.71
     appropriation
    0.70
    Activations Density 0.010%

    No Known Activations