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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. 2-RES-JB
    11. 8170
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lis
    -0.83
    holder
    -0.82
    vous
    -0.78
    stick
    -0.74
    sand
    -0.73
    lisher
    -0.72
    lay
    -0.71
     Rebell
    -0.71
    erous
    -0.71
     Mock
    -0.70
    POSITIVE LOGITS
    ative
    0.92
     radi
    0.90
    ates
    0.89
    ating
    0.88
    ologically
    0.85
    ators
    0.84
    icably
    0.83
    rogens
    0.82
    otropic
    0.81
    otherapy
    0.80
    Activations Density 0.016%

    No Known Activations