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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. 3-RES-JB
    11. 5033
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    Explanations

    phrases related to journals or journalism

    oai_token-act-pair · gpt-3.5-turbo

    references to various academic or professional journals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mine
    -0.73
     regress
    -0.66
     continents
    -0.66
    rises
    -0.65
     brightly
    -0.64
     ours
    -0.63
    mers
    -0.62
    places
    -0.62
    borgh
    -0.62
     evenly
    -0.62
    POSITIVE LOGITS
    istic
    1.02
    ism
    0.98
    Journal
    0.96
    istically
    0.90
    ists
    0.86
    istical
    0.84
    ical
    0.82
    journal
    0.81
    icals
    0.80
    osphere
    0.80
    Activations Density 0.009%

    No Known Activations