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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 8830
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    Explanations

    specific numeric values

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of numerical values and references to fairness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xon
    -0.72
     shocks
    -0.70
    itri
    -0.68
     Staten
    -0.63
    houn
    -0.63
     bite
    -0.62
     TN
    -0.61
    orno
    -0.60
    olin
    -0.60
     Shoals
    -0.59
    POSITIVE LOGITS
    003
    2.50
    ï¸ı
    1.98
     faire
    1.71
    002
    1.54
    004
    1.38
    005
    1.20
    tal
    1.09
     Talent
    1.08
    006
    1.06
    ï¸
    1.05
    Activations Density 0.041%

    No Known Activations