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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. 18460
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    Explanations

    the word "to"

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing uncertainty or questioning

    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
    âĿ
    -0.77
    bley
    -0.65
    letter
    -0.64
     McCann
    -0.64
     Nurs
    -0.63
     Corpus
    -0.63
    cycle
    -0.62
    HP
    -0.62
    SEE
    -0.62
    ©¶æ¥µ
    -0.61
    POSITIVE LOGITS
     why
    0.85
    yx
    0.81
    ggles
    0.78
     date
    0.78
     whether
    0.77
    wered
    0.76
     ascertain
    0.73
    ingu
    0.72
     blame
    0.70
    ipal
    0.67
    Activations Density 0.029%

    No Known Activations