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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. 9-RES-JB
    11. 19518
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    INDEX
    Explanations

    phrases indicating conditionality or dependence on specific circumstances

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases that indicate variability based on different factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Yad
    -0.66
    agle
    -0.65
    blue
    -0.65
    anas
    -0.64
    alty
    -0.63
    eg
    -0.62
    fighting
    -0.62
    IDS
    -0.62
    ALS
    -0.61
     Bench
    -0.61
    POSITIVE LOGITS
     upon
    1.00
     editions
    0.74
     depending
    0.73
     degrees
    0.72
     Upon
    0.71
     amount
    0.71
     critically
    0.71
     conting
    0.68
    ersed
    0.67
    uates
    0.66
    Activations Density 0.020%

    No Known Activations