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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. 4851
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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
    creen
    -0.67
     provisional
    -0.66
    IDENT
    -0.64
    role
    -0.63
    NESS
    -0.63
    adjusted
    -0.62
     limiting
    -0.61
     compe
    -0.59
    ament
    -0.59
     diplom
    -0.58
    POSITIVE LOGITS
    verning
    1.40
    ogly
    1.16
    etz
    1.13
    Daddy
    1.12
    ogl
    1.08
    lems
    1.07
    ethe
    1.06
    og
    0.98
    ose
    0.91
    etting
    0.91
    Activations Density 0.026%

    No Known Activations