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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. 11158
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    Explanations

    mentions of running or physical movement

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "ran" in various contexts

    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
     [+]
    -0.79
    ency
    -0.75
     Lauder
    -0.72
     Alley
    -0.67
    allows
    -0.66
    lining
    -0.63
    abilia
    -0.63
    ibel
    -0.62
    yond
    -0.60
     boiler
    -0.59
    POSITIVE LOGITS
    nesday
    0.90
    hers
    0.88
     tremend
    0.78
    ovych
    0.76
     UCHIJ
    0.73
    hes
    0.73
    owship
    0.72
    adobe
    0.72
    yrinth
    0.70
     Pike
    0.69
    Activations Density 0.148%

    No Known Activations