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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. 1-RES-JB
    11. 5041
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    Explanations

    phrases or words indicating issues, challenges, or controversies

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with negative or challenging situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vation
    -0.83
    hig
    -0.78
    tein
    -0.75
    eely
    -0.74
    uay
    -0.73
    rug
    -0.72
    bet
    -0.72
    ithing
    -0.71
    ript
    -0.71
    vet
    -0.70
    POSITIVE LOGITS
     problematic
    0.99
     undermin
    0.96
     guiActiveUn
    0.86
     troublesome
    0.79
     plag
    0.76
     offending
    0.71
     adolesc
    0.70
     resil
    0.70
     disruptive
    0.69
    ayson
    0.68
    Activations Density 0.005%

    No Known Activations