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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. 319
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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
     Giuliani
    -0.65
     mornings
    -0.59
     Bonds
    -0.57
    @@@@
    -0.57
     802
    -0.56
    ndum
    -0.56
     Bor
    -0.56
    tt
    -0.55
     Bulg
    -0.55
     places
    -0.55
    POSITIVE LOGITS
    itent
    1.71
    ultimate
    1.71
    elope
    1.43
    cil
    1.41
    insula
    1.29
    alties
    1.25
    nington
    1.24
    manship
    1.24
    knife
    1.09
    cill
    1.09
    Activations Density 0.051%

    No Known Activations