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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. 1-RES-JB
    11. 907
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    Explanations

    adverbs ending in "-ably" or "-ibly"

    oai_token-act-pair · gpt-3.5-turbo

    adverbs that indicate manner or degree

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rieving
    -0.73
    ession
    -0.69
    ulton
    -0.69
    ancial
    -0.67
     Settlement
    -0.62
     AJ
    -0.62
     Mehran
    -0.61
    vern
    -0.60
     Riders
    -0.60
    ophy
    -0.60
    POSITIVE LOGITS
    âĶĢâĶĢ
    0.77
    ably
    0.76
    itably
    0.74
    uably
    0.73
    dry
    0.72
    BILITY
    0.72
    lihood
    0.71
     minded
    0.68
    xus
    0.68
    mma
    0.67
    Activations Density 0.011%

    No Known Activations