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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. 0-RES-JB
    11. 23288
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    INDEX
    Explanations

    positive words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    mentions of positive attributes or outcomes

    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
    cloth
    -0.77
    fleet
    -0.72
    stadt
    -0.70
    fell
    -0.67
    kens
    -0.67
     Templ
    -0.67
    çķ
    -0.67
     Cavern
    -0.66
    ulkan
    -0.66
     BaseType
    -0.64
    POSITIVE LOGITS
     positive
    3.60
    positive
    3.08
     positives
    2.75
     Positive
    2.68
     negative
    2.65
    negative
    2.42
     Negative
    2.00
     positively
    1.86
     negatives
    1.82
     negativity
    1.76
    Activations Density 0.023%

    No Known Activations