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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. 0-RES-JB
    11. 2363
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    Explanations

    terms related to forecasting or predictions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to broadcasting and media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Patty
    -0.75
     root
    -0.71
     po
    -0.70
     lux
    -0.70
     tug
    -0.65
     ig
    -0.65
     gall
    -0.63
     Palo
    -0.63
     Niger
    -0.62
     drug
    -0.62
    POSITIVE LOGITS
    caster
    4.62
    casters
    4.20
    casting
    2.64
    casts
    2.25
    cast
    1.87
    CAST
    1.68
     caster
    1.59
    sword
    1.23
    blers
    1.15
     Casting
    1.11
    Activations Density 0.019%

    No Known Activations