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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. 8-RES-JB
    11. 4917
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    Explanations

    phrases related to quantity or extent

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing the concept of quantity or abundance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĺħ
    -0.81
     Butterfly
    -0.79
    Ľ
    -0.74
    bley
    -0.72
    İĭ
    -0.69
    é¾įåĸļ士
    -0.67
    chieve
    -0.66
    ĪĴ
    -0.65
    ²¾
    -0.65
    bors
    -0.65
    POSITIVE LOGITS
     Than
    0.68
     than
    0.68
    antz
    0.67
     bang
    0.65
    theless
    0.64
     AS
    0.63
    keye
    0.62
     Leone
    0.60
     digits
    0.59
    ukong
    0.58
    Activations Density 0.048%

    No Known Activations