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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. 1-RES-JB
    11. 7310
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    Explanations

    names related to sports or athletes

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" used frequently within various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sis
    -0.70
     quarters
    -0.67
     crawl
    -0.62
    externalActionCode
    -0.61
     Statistics
    -0.60
    grades
    -0.60
     symbolism
    -0.60
    spring
    -0.59
    taker
    -0.58
     strains
    -0.58
    POSITIVE LOGITS
    ando
    1.40
    ragon
    0.93
    elta
    0.91
    agate
    0.89
    emonium
    0.83
    onga
    0.83
    lette
    0.81
     Alonso
    0.78
    osta
    0.77
    okia
    0.77
    Activations Density 0.006%

    No Known Activations