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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. 6-RES-JB
    11. 7324
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    INDEX
    Explanations

    sentences describing physical actions or events

    oai_token-act-pair · gpt-3.5-turbo

    instances of suspenseful or shocking events in narratives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.72
    levant
    -0.69
     respectively
    -0.69
     guiActiveUnfocused
    -0.68
     warr
    -0.67
     advoc
    -0.67
    ictionary
    -0.66
     ensures
    -0.64
    hovah
    -0.64
    cms
    -0.64
    POSITIVE LOGITS
    âĢ¢âĢ¢
    0.70
     Moments
    0.68
    Was
    0.67
     Was
    0.65
    His
    0.64
     Years
    0.64
     His
    0.64
     Orioles
    0.63
    Doctors
    0.63
     Packers
    0.62
    Activations Density 0.953%

    No Known Activations