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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. 5184
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    Explanations

    dates in various formats

    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
    anse
    -0.70
     shaping
    -0.67
     fireplace
    -0.65
    inator
    -0.65
    ivated
    -0.65
     Beir
    -0.64
    ichick
    -0.63
     provoking
    -0.63
    nesday
    -0.62
    stration
    -0.62
    POSITIVE LOGITS
    AUT
    0.93
    TON
    0.88
    Insert
    0.87
    Names
    0.86
    NEW
    0.80
    Thompson
    0.80
    NOTE
    0.79
    ERROR
    0.79
    COMPLE
    0.76
    TEXT
    0.76
    Activations Density 0.019%

    No Known Activations