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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. 8-RES-JB
    11. 329
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    Explanations

    phrases indicating positive judgment or approval

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing positive evaluations or recommendations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    doms
    -0.87
    eds
    -0.85
    ancies
    -0.85
    lees
    -0.80
    iencies
    -0.79
    events
    -0.78
    stals
    -0.76
    onduct
    -0.76
    chers
    -0.75
    RAW
    -0.75
    POSITIVE LOGITS
     example
    1.15
     asset
    1.15
     idea
    1.15
     indicator
    1.12
     reminder
    1.10
     predictor
    1.10
     thing
    1.09
     opportunity
    1.08
     approximation
    1.07
     indication
    1.06
    Activations Density 0.080%

    No Known Activations