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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. 4-RES-JB
    11. 202
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    Explanations

    words related to things that attract attention or interest

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "attraction" and its variations in various contexts

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

    No Comments

    Negative Logits
    soDeliveryDate
    -0.77
    krit
    -0.75
    20439
    -0.73
    uckles
    -0.70
    stood
    -0.69
    ordan
    -0.69
    nia
    -0.68
    Ñı
    -0.67
    monds
    -0.66
    bleacher
    -0.64
    POSITIVE LOGITS
     attraction
    1.37
     attractions
    1.17
    ĸļ
    0.99
     attracts
    0.80
     Flavoring
    0.79
    ocity
    0.77
     attracted
    0.76
    apore
    0.72
    rers
    0.72
     magnet
    0.71
    Activations Density 0.009%

    No Known Activations