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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. 10-RES-JB
    11. 4827
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     DOS
    -0.91
     Debor
    -0.88
    BOX
    -0.85
     Marsh
    -0.78
     Muk
    -0.77
     BOX
    -0.76
    orio
    -0.76
     Nicaragua
    -0.75
     Box
    -0.74
     Rover
    -0.74
    POSITIVE LOGITS
    ath
    1.40
    th
    1.32
    thal
    1.31
    oth
    1.26
    roth
    1.24
    ths
    1.24
    thia
    1.22
    ith
    1.21
    TH
    1.20
    Th
    1.19
    Activations Density 0.218%

    No Known Activations