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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. 15767
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    Explanations

    terms related to natural disasters, specifically tornadoes, as well as specific proper nouns such as Sikh, EF, and Subaru

    oai_token-act-pair · gpt-3.5-turbo

    mentions of tornadoes and related terms

    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
    tics
    -0.90
    ysis
    -0.79
    pots
    -0.75
    tons
    -0.75
    enance
    -0.74
    pot
    -0.71
    dial
    -0.69
     Liberties
    -0.67
     quo
    -0.67
    bred
    -0.65
    POSITIVE LOGITS
    adoes
    0.91
    avorite
    0.87
    agnar
    0.85
    aceae
    0.84
     tornado
    0.82
    olkien
    0.81
    akeru
    0.80
    andom
    0.79
    sov
    0.75
    velength
    0.73
    Activations Density 0.028%

    No Known Activations