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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. 3288
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    Explanations

    dollar amounts indicated in text

    oai_token-act-pair · gpt-3.5-turbo

    comparisons involving "or" related to numerical values and thresholds

    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
    ellar
    -0.79
    ende
    -0.73
    edia
    -0.71
    Leaks
    -0.69
    hed
    -0.68
    pter
    -0.66
    Monitor
    -0.65
     Reporter
    -0.65
    ensive
    -0.64
    Ident
    -0.63
    POSITIVE LOGITS
    ifice
    1.00
    chard
    0.99
    acles
    0.98
    acle
    0.94
    ific
    0.93
    chid
    0.90
     equivalent
    0.85
    lando
    0.80
     equival
    0.80
    nam
    0.78
    Activations Density 0.072%

    No Known Activations