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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. 9-RES-JB
    11. 23468
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    INDEX
    Explanations

    time-related expressions indicating urgency or specificity

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating approximate time frames or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aphael
    -0.66
    orem
    -0.66
    phabet
    -0.62
    orb
    -0.61
    yss
    -0.61
    odynam
    -0.60
     buffet
    -0.59
    ĺħ
    -0.58
    resa
    -0.58
    aily
    -0.57
    POSITIVE LOGITS
     increments
    0.96
    soDeliveryDate
    0.88
     manner
    0.81
     places
    0.81
     chronological
    0.80
     nutshell
    0.79
     fashion
    0.78
     guise
    0.75
     hurry
    0.74
     respects
    0.74
    Activations Density 0.128%

    No Known Activations