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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. 4-RES-JB
    6. 10787
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    Explanations

    phrases related to availability or access

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "on" in various contexts

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

    No Comments

    Negative Logits
    acter
    -0.78
    anan
    -0.71
    ikan
    -0.70
     ens
    -0.69
    Abstract
    -0.67
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.65
    ctor
    -0.64
    rious
    -0.64
    Care
    -0.63
    ynt
    -0.63
    POSITIVE LOGITS
     behalf
    1.35
    eday
    1.02
    eworld
    1.00
    site
    0.97
    etimes
    0.95
    sets
    0.93
    yx
    0.92
    etime
    0.90
    demand
    0.90
    coming
    0.90
    Activations Density 0.241%

    No Known Activations