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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. 11-RES-JB
    11. 13371
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    Explanations

    words and phrases associated with specific attributes, qualities, or conditions

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases that denote associations or characteristics related to various concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OUT
    -0.68
     Divide
    -0.64
    intend
    -0.64
    imon
    -0.61
    tex
    -0.58
    EMS
    -0.58
    aneers
    -0.58
    stal
    -0.57
    vette
    -0.56
    pan
    -0.56
    POSITIVE LOGITS
     with
    0.92
    atively
    0.85
    ative
    0.75
    ãĥł
    0.73
    ively
    0.73
    esthesia
    0.72
     WITH
    0.70
    onym
    0.68
    ativity
    0.68
    with
    0.68
    Activations Density 0.073%

    No Known Activations