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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. 11-RES-JB
    11. 5180
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     MU
    -1.06
     Nic
    -0.86
     McDonnell
    -0.86
    573
    -0.85
     Freeman
    -0.85
    NM
    -0.85
    MU
    -0.84
    Mur
    -0.83
     Frey
    -0.82
     Warner
    -0.82
    POSITIVE LOGITS
    ach
    1.01
    ACH
    0.95
    aches
    0.93
     Jake
    0.92
     Hart
    0.89
    Jake
    0.88
    ached
    0.87
    achable
    0.86
    bind
    0.85
     char
    0.85
    Activations Density 0.452%

    No Known Activations