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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    mentions of the character "Robin Hood"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Hood" in various contexts, particularly related to Mount Hood and the character Robin Hood

    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
    å§
    -0.71
     Canaver
    -0.71
    ×Ļ
    -0.70
    ×ķ
    -0.68
    âĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪ
    -0.67
    ngth
    -0.66
    USE
    -0.65
    cing
    -0.65
    ×IJ
    -0.65
     spaced
    -0.65
    POSITIVE LOGITS
     Hood
    0.95
    tip
    0.85
    iak
    0.82
    yer
    0.81
    emouth
    0.81
    abit
    0.79
    pipe
    0.79
    seed
    0.79
    bean
    0.78
    edo
    0.78
    Activations Density 0.008%

    No Known Activations