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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 5606
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    Explanations

    adjectives describing the nature or quality of something

    oai_token-act-pair · gpt-3.5-turbo

    negative evaluations or critiques of various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UF
    -0.71
    aha
    -0.69
    OME
    -0.69
    ¬¼
    -0.69
    uay
    -0.69
    tz
    -0.68
    ickets
    -0.66
    rero
    -0.66
    vation
    -0.65
    asio
    -0.65
    POSITIVE LOGITS
     albeit
    1.15
     but
    0.96
     although
    0.94
     namely
    0.93
     however
    0.93
     though
    0.92
     except
    0.91
     whereas
    0.88
     insofar
    0.87
     huh
    0.78
    Activations Density 0.336%

    No Known Activations