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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 19549
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    Explanations

    terms related to audiovisual (AV) technology

    oai_token-act-pair · gpt-3.5-turbo

    references to audiovisual (AV) technology and systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tons
    -0.72
    pring
    -0.69
    estyle
    -0.68
    bourg
    -0.65
    maid
    -0.65
    cence
    -0.65
    kick
    -0.64
    âĸ¬âĸ¬
    -0.64
     Witt
    -0.64
    gravity
    -0.64
    POSITIVE LOGITS
     AV
    1.19
    oice
    0.81
    iliary
    0.78
    arna
    0.77
    illary
    0.74
    irtual
    0.73
    isu
    0.73
    orsi
    0.70
    oreAnd
    0.70
    GW
    0.70
    Activations Density 0.005%

    No Known Activations