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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. 20513
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    Explanations

    phrases indicating value or importance

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the value or significance of something

    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
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    Negative Logits
     Sierra
    -0.69
    gdala
    -0.66
     Dogs
    -0.66
     Vehicles
    -0.65
     Cats
    -0.63
     Territories
    -0.62
     Aval
    -0.62
    LIN
    -0.62
    Hello
    -0.62
    Kat
    -0.62
    POSITIVE LOGITS
    orth
    0.91
    folios
    0.85
    ensing
    0.83
    ily
    0.82
    iness
    0.82
    allery
    0.78
    posium
    0.78
    trade
    0.77
     consideration
    0.77
    ebin
    0.76
    Activations Density 0.016%

    No Known Activations