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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. 2654
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    Explanations

    keywords related to public transportation, specifically referencing the 'RTA'

    oai_token-act-pair · gpt-3.5-turbo

    references to transportation agencies and their regulations

    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
    nen
    -0.69
    comes
    -0.66
    giving
    -0.63
    papers
    -0.63
    builders
    -0.63
    stories
    -0.62
    space
    -0.61
    names
    -0.60
    nan
    -0.59
    units
    -0.58
    POSITIVE LOGITS
    TA
    1.06
    KE
    0.90
    ZA
    0.88
    WA
    0.87
    BA
    0.84
    KER
    0.83
    pling
    0.82
    akedown
    0.81
    KING
    0.81
    CLA
    0.81
    Activations Density 0.008%

    No Known Activations