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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 2417
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    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
    utic
    -0.68
     Dickinson
    -0.67
    zona
    -0.67
    uan
    -0.67
    oids
    -0.66
    asta
    -0.66
     Brach
    -0.66
    inki
    -0.65
    aceous
    -0.65
    hement
    -0.63
    POSITIVE LOGITS
    Ħ¢
    0.80
    ĸļ
    0.78
     Laure
    0.70
    important
    0.67
    really
    0.62
    ?:
    0.62
    actual
    0.62
    utm
    0.60
    .?
    0.60
    iry
    0.60
    Activations Density 0.022%

    No Known Activations