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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 5548
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    INDEX
    Explanations

    numerical values and company names

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and special characters, likely related to statistics or measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ="/
    -0.67
     [â̦]
    -0.66
    ONSORED
    -0.63
    .–
    -0.63
    atform
    -0.62
     inherently
    -0.58
    ":["
    -0.56
    -[
    -0.55
    âĤ¬
    -0.55
     Tues
    -0.54
    POSITIVE LOGITS
    olate
    0.81
    aneous
    0.80
    artifacts
    0.75
    ronic
    0.73
    ibaba
    0.73
    BuyableInstoreAndOnline
    0.70
    antage
    0.68
    ortium
    0.68
    ifling
    0.67
    uncle
    0.67
    Activations Density 0.164%

    No Known Activations