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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. 12-RES-JB
    11. 4087
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    Explanations

    statements or discussions about events that have occurred and the likelihood of them happening again

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    instances of the word "happen" and its variations, indicating occurrences or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ij士
    -0.72
    senal
    -0.67
     upgr
    -0.63
    Quality
    -0.63
     Flags
    -0.63
     Balanced
    -0.63
    orters
    -0.62
     Crus
    -0.58
    BuyableInstoreAndOnline
    -0.58
     Operating
    -0.58
    POSITIVE LOGITS
     spontaneously
    1.12
     naturally
    1.03
     again
    0.92
     sooner
    0.92
     happen
    0.91
     unexpectedly
    0.88
     catast
    0.87
     overnight
    0.86
     concurrently
    0.86
     randomly
    0.84
    Activations Density 0.146%

    No Known Activations