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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. 4126
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    INDEX
    Explanations

    phrases related to beginning or initiating tasks or projects

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "getting started."

    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
    bey
    -0.76
    dayName
    -0.75
    ighth
    -0.74
    orie
    -0.71
    ãĥ¼ãĥ³
    -0.71
    ajo
    -0.68
    phy
    -0.67
    atu
    -0.67
     entirety
    -0.65
    oped
    -0.65
    POSITIVE LOGITS
     anew
    0.77
    nings
    0.71
    ESSION
    0.66
     poking
    0.66
     sketch
    0.65
     STEP
    0.65
     Casting
    0.62
    OCK
    0.62
    ners
    0.62
     experimenting
    0.61
    Activations Density 0.021%

    No Known Activations