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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. 18517
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    Explanations

    phrases related to advocating for actions to be taken, often with a sense of urgency and importance

    oai_token-act-pair · gpt-3.5-turbo

    references to consistency or repetition of actions

    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
     Leilan
    -0.69
    ospons
    -0.66
    urated
    -0.65
     Provides
    -0.64
    NULL
    -0.63
    andise
    -0.62
    osponsors
    -0.62
    opened
    -0.61
    usalem
    -0.59
    quished
    -0.59
    POSITIVE LOGITS
     same
    1.39
     unthinkable
    1.27
    same
    1.17
     opposite
    1.08
     simplest
    1.08
    oret
    1.03
     exact
    1.01
     utmost
    1.01
     hardest
    0.96
     groundwork
    0.95
    Activations Density 0.075%

    No Known Activations