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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. 11267
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    Explanations

    phrases indicating a preference for a specific option or action

    oai_token-act-pair · gpt-3.5-turbo

    expressions of preference or choice

    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
    rising
    -0.74
    emin
    -0.70
    uther
    -0.70
     afore
    -0.64
    apt
    -0.62
    calling
    -0.62
    anni
    -0.61
    Loading
    -0.60
    ahead
    -0.60
    Behind
    -0.60
    POSITIVE LOGITS
     lose
    0.96
     than
    0.96
     spend
    0.95
     avoid
    0.86
     starve
    0.85
     settle
    0.81
     gamble
    0.80
     tolerate
    0.79
     wait
    0.79
     accept
    0.78
    Activations Density 0.042%

    No Known Activations