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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
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    INDEX
    Explanations

    references to journalism or journalistic professions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of journals and journalistic 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
    bang
    -0.79
    BuyableInstoreAndOnline
    -0.77
    rises
    -0.73
    cpu
    -0.64
    cca
    -0.64
     Turbo
    -0.64
     evenly
    -0.63
    evil
    -0.62
    spring
    -0.61
    aft
    -0.60
    POSITIVE LOGITS
    Journal
    1.36
    journal
    1.01
    ism
    0.98
    istic
    0.96
    ists
    0.92
    estine
    0.90
    istical
    0.87
     Journalists
    0.86
    iste
    0.86
    emouth
    0.80
    Activations Density 0.010%

    No Known Activations