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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 7391
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    Explanations

    mentions of someone playing in various sports games or leagues

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "in" followed by a numeric value or context related to participation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    $$
    -0.71
     learners
    -0.65
    $$$$
    -0.64
    hai
    -0.63
    NOW
    -0.63
    casters
    -0.63
     explains
    -0.63
    hur
    -0.62
     %%
    -0.62
    username
    -0.62
    POSITIVE LOGITS
     vain
    1.21
     accordance
    1.19
     lieu
    1.13
     conjunction
    1.12
     unison
    1.09
    ordinate
    1.07
    clusively
    1.02
     tandem
    1.02
    humane
    0.99
    clus
    0.97
    Activations Density 0.247%

    No Known Activations