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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. 11-RES-JB
    11. 23851
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    Explanations

    phrases or sentences containing the word "only" followed by a high value activation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize exclusivity or limitation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    ffen
    -0.63
    idon
    -0.59
    cedented
    -0.59
    git
    -0.57
    lined
    -0.57
     understatement
    -0.57
    iller
    -0.56
    ></
    -0.56
    cent
    -0.55
    edo
    -0.53
    POSITIVE LOGITS
     insofar
    1.12
     spor
    1.11
     marginally
    1.00
     intermitt
    0.99
     sparing
    0.90
     occasionally
    0.90
     briefly
    0.89
     temporarily
    0.85
     superf
    0.85
     incidentally
    0.83
    Activations Density 0.066%

    No Known Activations