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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. 14379
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    Explanations

    company names or abbreviations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Inc" or its variations

    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
    buster
    -0.74
    pocket
    -0.66
    ĪĴ
    -0.64
     differe
    -0.63
     behav
    -0.62
     backs
    -0.62
     caval
    -0.61
     devils
    -0.60
     mercy
    -0.60
     dh
    -0.59
    POSITIVE LOGITS
    orporated
    1.74
    arcer
    1.62
    orpor
    1.61
    redibly
    1.56
    identally
    1.52
    orrect
    1.44
    idents
    1.39
    redible
    1.35
    endiary
    1.29
    idence
    1.27
    Activations Density 0.025%

    No Known Activations