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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. 20688
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    Explanations

    words related to quantity or degree

    oai_token-act-pair · gpt-3.5-turbo

    terms related to value, power, and effort in various contexts

    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
    ICLE
    -0.68
     Avenger
    -0.65
     Terror
    -0.55
    asha
    -0.54
     Citation
    -0.54
    everal
    -0.53
     quint
    -0.53
     proverb
    -0.52
    most
    -0.52
    RAW
    -0.52
    POSITIVE LOGITS
     whatsoever
    0.78
    fulness
    0.74
    ãĤ¬
    0.74
    catentry
    0.71
    smanship
    0.70
    ible
    0.69
     apiece
    0.68
    idious
    0.67
    ibly
    0.66
     than
    0.66
    Activations Density 0.268%

    No Known Activations