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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. 4-RES-JB
    11. 4153
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    Explanations

    specific terms related to probability

    oai_token-act-pair · gpt-3.5-turbo

    terms related to probability and probabilistic assessments

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

    No Comments

    Negative Logits
     Valhalla
    -0.83
     palms
    -0.80
     Alps
    -0.67
     Darling
    -0.67
    overs
    -0.66
     Skies
    -0.66
    holders
    -0.64
     Thumbnails
    -0.63
     Shattered
    -0.62
    ynthesis
    -0.62
    POSITIVE LOGITS
    iotics
    1.18
    iotic
    1.11
    abil
    0.98
    bly
    0.89
    iciary
    0.87
    icy
    0.86
    ptr
    0.86
    osc
    0.85
     prob
    0.80
    ed
    0.79
    Activations Density 0.013%

    No Known Activations