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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. 10-RES-JB
    6. 9828
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    Explanations

    phrases related to causes and effects

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to consequences and outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.63
    inally
    -0.60
    lished
    -0.60
    Balt
    -0.57
    ificantly
    -0.55
    ModLoader
    -0.53
    resent
    -0.52
    entimes
    -0.51
    estern
    -0.51
    nesday
    -0.51
    POSITIVE LOGITS
     thereof
    1.32
    .[
    1.20
    .<
    1.03
    .</
    1.00
    .
    0.98
    .","
    0.97
    .(
    0.95
    .]
    0.95
    .–
    0.93
    ."[
    0.90
    Activations Density 0.623%

    No Known Activations