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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 9686
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    Explanations

    phrases describing a specific time or period

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe a specific temporal context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rolet
    -0.75
    ply
    -0.74
    agin
    -0.68
    ha
    -0.67
    andal
    -0.67
    urally
    -0.66
    gan
    -0.64
    byte
    -0.60
     NOTE
    -0.60
    bas
    -0.60
    POSITIVE LOGITS
    soever
    1.10
    abouts
    0.97
    irlf
    0.74
    upon
    0.71
    ornia
    0.71
     faced
    0.69
    earch
    0.68
    inelli
    0.67
     they
    0.67
     discussing
    0.67
    Activations Density 0.060%

    No Known Activations