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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. 9584
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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
    corn
    -1.02
    dule
    -0.84
    udeb
    -0.83
    soDeliveryDate
    -0.77
    ichick
    -0.76
    papers
    -0.75
    sein
    -0.72
    zeb
    -0.71
    enburg
    -0.70
    sup
    -0.69
    POSITIVE LOGITS
     intimate
    0.98
    ewitness
    0.82
     acquainted
    0.76
     details
    0.74
     experience
    0.73
     pleasure
    0.72
     familiarity
    0.72
     priv
    0.71
     IMAGES
    0.70
     sensations
    0.70
    Activations Density 0.103%

    No Known Activations