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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. 2-RES-JB
    11. 14750
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    Explanations

    words related to actions or events that involve showing or demonstrating something

    oai_token-act-pair · gpt-3.5-turbo

    words related to display or showcasing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sen
    -0.70
    und
    -0.69
    sec
    -0.68
    ico
    -0.67
    ij士
    -0.66
    drive
    -0.66
    ç«
    -0.65
    hers
    -0.65
    Lew
    -0.64
     retract
    -0.62
    POSITIVE LOGITS
    alogue
    0.81
    earance
    0.78
     uncanny
    0.75
    ammy
    0.72
    emonium
    0.70
     baskets
    0.68
    pherd
    0.65
    efficients
    0.65
     Plays
    0.64
     Thumbnails
    0.64
    Activations Density 0.057%

    No Known Activations