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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. 11934
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    INDEX
    Explanations

    references to frequency or repetition

    oai_token-act-pair · gpt-3.5-turbo

    terms related to frequency and regularity of occurrences or visits

    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
    owitz
    -0.74
     ultimately
    -0.72
    artisan
    -0.71
    Els
    -0.68
    bern
    -0.68
    elo
    -0.68
    enic
    -0.67
    enario
    -0.67
    oti
    -0.67
    asus
    -0.65
    POSITIVE LOGITS
     flyer
    1.21
     occurrence
    1.02
     visits
    1.02
     collaborator
    1.00
     visitor
    0.96
     updates
    0.93
     occurrences
    0.91
     intervals
    0.90
     overfl
    0.85
    ity
    0.84
    Activations Density 0.100%

    No Known Activations