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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. 5-RES-JB
    6. 6916
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    INDEX
    Explanations

    words relating to emphasizing a point or degree

    oai_token-act-pair · gpt-3.5-turbo

    the word "ever" in various contexts and forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    akings
    -0.72
    ophys
    -0.67
     Instr
    -0.67
    hett
    -0.67
     Ruin
    -0.65
    sembly
    -0.63
     openings
    -0.62
    ĺħ
    -0.62
    assetsadobe
    -0.62
    emia
    -0.61
    POSITIVE LOGITS
    theless
    1.18
    idge
    1.03
    lasting
    0.96
    ider
    0.94
    deen
    0.81
    ries
    0.80
    VER
    0.76
    ably
    0.75
    hood
    0.74
    iders
    0.71
    Activations Density 0.009%

    No Known Activations