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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. 1-RES-JB
    6. 2313
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    Explanations

    references to profiles or personal information

    oai_token-act-pair · gpt-3.5-turbo

    references to user profiles, particularly in the context of social media

    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
    sis
    -0.76
    actic
    -0.70
     cruc
    -0.69
    othing
    -0.65
    agan
    -0.65
    shall
    -0.64
    atorial
    -0.61
     Pont
    -0.61
    inos
    -0.60
    resent
    -0.60
    POSITIVE LOGITS
     profiles
    1.43
     profile
    1.33
    Profile
    1.01
     Profile
    0.95
     Seym
    0.88
    onym
    0.82
     aliases
    0.80
    olicy
    0.78
     profiling
    0.78
    profile
    0.76
    Activations Density 0.008%

    No Known Activations