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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. 9714
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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
    etheless
    -0.90
    ntil
    -0.77
     decency
    -0.63
    ãĤ¨ãĥ«
    -0.63
    soever
    -0.63
    merce
    -0.61
     downside
    -0.61
    âķIJ
    -0.61
    istries
    -0.60
     besides
    -0.59
    POSITIVE LOGITS
     progresses
    1.37
     unfolds
    1.15
     prepares
    1.08
     progressed
    1.08
     grows
    1.07
     evolves
    1.06
     becomes
    0.96
     unfolded
    0.94
     begins
    0.92
     continues
    0.92
    Activations Density 0.377%

    No Known Activations