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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. 11-RES-JB
    11. 6571
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    Explanations

    expressions of excitement or thankfulness

    oai_token-act-pair · gpt-3.5-turbo

    expressions of excitement or enthusiasm

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     triggers
    -0.63
     shifts
    -0.62
     silhou
    -0.62
     strat
    -0.61
     springs
    -0.61
     Slav
    -0.60
     wavelengths
    -0.59
     moves
    -0.58
     hydrogen
    -0.57
     cuts
    -0.57
    POSITIVE LOGITS
    ll
    1.20
    ve
    1.15
    m
    1.13
    mean
    1.06
    d
    1.05
    mma
    1.04
    t
    1.03
    agree
    0.99
    ma
    0.98
    mt
    0.96
    Activations Density 0.118%

    No Known Activations