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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. 7317
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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
    apixel
    -0.74
     torch
    -0.72
    uania
    -0.71
    rek
    -0.69
    borg
    -0.68
    wn
    -0.68
    kees
    -0.67
    jer
    -0.66
     stool
    -0.65
    iership
    -0.64
    POSITIVE LOGITS
    ecause
    1.09
    Because
    1.04
     Because
    1.00
    Reason
    0.99
    Cause
    0.99
     reasons
    0.98
    cause
    0.96
     Reasons
    0.95
     WHY
    0.83
     because
    0.81
    Activations Density 0.178%

    No Known Activations