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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. 3191
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    Explanations

    words related to negative situations or outcomes, such as distress, recession, and ruin

    oai_token-act-pair · gpt-3.5-turbo

    terms related to economic decline and distress

    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
    tein
    -0.61
     Predators
    -0.60
    ahu
    -0.60
    cal
    -0.59
     Predator
    -0.58
    origin
    -0.57
     scouts
    -0.56
    ios
    -0.55
    az
    -0.55
     specificity
    -0.54
    POSITIVE LOGITS
     financially
    1.06
     miser
    0.91
     economically
    0.89
     havoc
    0.80
    Versions
    0.80
     amid
    0.78
     due
    0.74
     coping
    0.72
     amidst
    0.72
     owing
    0.70
    Activations Density 0.341%

    No Known Activations