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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. 14740
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    INDEX
    Explanations

    phrases indicating negative situations or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the worsening of situations or circumstances

    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
    eties
    -0.70
    orsi
    -0.70
    idth
    -0.69
    sha
    -0.67
     Entered
    -0.62
     Meridian
    -0.61
    stem
    -0.61
     pioneered
    -0.60
    olester
    -0.58
     borrowed
    -0.58
    POSITIVE LOGITS
     easier
    1.15
     harder
    1.08
     worse
    1.08
     swe
    1.07
     clearer
    0.98
     tougher
    0.98
     worthwhile
    0.97
     moot
    0.96
     toler
    0.92
     miserable
    0.91
    Activations Density 0.120%

    No Known Activations