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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. 9-RES-JB
    11. 23652
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    Explanations

    phrases related to natural processes or scientific phenomena

    oai_token-act-pair · gpt-3.5-turbo

    terms related to environmental processes and scientific phenomena

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.79
    ruary
    -0.78
    deal
    -0.76
    lihood
    -0.76
    heses
    -0.75
    boxing
    -0.74
    untu
    -0.73
    alias
    -0.71
    ordering
    -0.71
    bard
    -0.70
    POSITIVE LOGITS
     nutrients
    1.44
     sunlight
    1.30
     moisture
    1.28
     toxins
    1.27
     oxygen
    1.24
     fluids
    1.22
     gases
    1.21
     energy
    1.19
     radiation
    1.18
     pollutants
    1.17
    Activations Density 0.430%

    No Known Activations