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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. 15048
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    Explanations

    the word "used" followed by a number describing a past action or experience

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "used to," indicating past habits or experiences

    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
     undertaking
    -0.66
     defic
    -0.65
    hani
    -0.62
    ijing
    -0.61
     achie
    -0.61
    ignt
    -0.61
    bow
    -0.61
    bitious
    -0.61
    llah
    -0.60
    naire
    -0.60
    POSITIVE LOGITS
     condoms
    0.89
    fully
    0.88
    FUL
    0.82
     sparing
    0.81
    ãĥ¼ãĥĨãĤ£
    0.80
    fulness
    0.76
     microphones
    0.64
    full
    0.63
     borrowed
    0.63
     phrases
    0.63
    Activations Density 0.054%

    No Known Activations