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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. 7-RES-JB
    11. 14719
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    Explanations

    religious or philosophical references

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly periods and colons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocating
    -0.80
     quir
    -0.80
     targeted
    -0.79
    omics
    -0.77
     pool
    -0.75
    ewater
    -0.75
     messaging
    -0.74
     flagged
    -0.74
     trending
    -0.74
     potentially
    -0.74
    POSITIVE LOGITS
     Hence
    1.50
     Thus
    1.45
     Therefore
    1.35
     Accordingly
    1.34
     Moreover
    1.32
     Suppose
    1.27
     Consequently
    1.24
     Besides
    1.22
     Whilst
    1.20
     Secondly
    1.18
    Activations Density 0.374%

    No Known Activations