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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. 7-RES-JB
    11. 2990
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    Explanations

    instances of actions related to landing

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ught
    -0.73
    die
    -0.72
    acity
    -0.66
    aldi
    -0.66
    inki
    -0.66
    iece
    -0.65
    azi
    -0.65
    SPONSORED
    -0.65
    é¾įå¥ij士
    -0.65
    conn
    -0.63
    POSITIVE LOGITS
    plane
    0.90
    mass
    0.78
    locked
    0.76
    planes
    0.73
     landing
    0.70
    prises
    0.69
    lock
    0.68
    prise
    0.66
     squarely
    0.65
     awkwardly
    0.65
    Activations Density 0.031%

    No Known Activations