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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. 20109
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    INDEX
    Explanations

    negative adjectives related to performance or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    negative descriptors related to performance or quality

    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
    skirts
    -0.86
    ahu
    -0.80
    alde
    -0.75
    racuse
    -0.73
    irs
    -0.73
    Ru
    -0.72
    chwitz
    -0.72
    ourage
    -0.70
    wright
    -0.68
    hetti
    -0.68
    POSITIVE LOGITS
    luster
    1.18
     ratings
    1.01
     Ratings
    0.96
     miser
    0.95
     lackluster
    0.93
     rollout
    0.86
     luck
    0.85
     morale
    0.84
     performance
    0.83
     lineback
    0.83
    Activations Density 0.376%

    No Known Activations