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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. 3841
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    Explanations

    strong emotional reactions or surprising events

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with shock and surprise

    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
    porary
    -0.73
    uben
    -0.67
    angible
    -0.64
    claimer
    -0.63
    assad
    -0.62
    urgy
    -0.62
    arten
    -0.60
    ãĥİ
    -0.59
    uts
    -0.57
    á
    -0.57
    POSITIVE LOGITS
     onlook
    1.27
    ingly
    1.05
     observers
    1.05
     passers
    1.03
     audiences
    1.02
     us
    1.00
     regulators
    0.99
     sensibilities
    0.96
     everyone
    0.95
     critics
    0.93
    Activations Density 0.177%

    No Known Activations