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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. 4-RES-JB
    11. 20540
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    Explanations

    references to large quantities or monetary values

    oai_token-act-pair · gpt-3.5-turbo

    references to large populations or quantities

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

    No Comments

    Negative Logits
    ħĭ
    -0.88
    chart
    -0.74
    SourceFile
    -0.74
    deck
    -0.70
    lists
    -0.65
    most
    -0.64
    ĸļ
    -0.64
    ļéĨĴ
    -0.63
    acea
    -0.63
     Directive
    -0.61
    POSITIVE LOGITS
     miles
    0.91
     dollars
    0.90
     acres
    0.89
     pounds
    0.89
     kilometers
    0.84
     kilometres
    0.83
     hectares
    0.80
     thousands
    0.79
    pees
    0.79
     volts
    0.75
    Activations Density 0.069%

    No Known Activations