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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. 9-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orld
    -0.68
    love
    -0.65
    Untitled
    -0.61
    oof
    -0.60
    elight
    -0.59
    optim
    -0.59
    oward
    -0.59
    geist
    -0.59
    arya
    -0.58
    ãĤ©
    -0.58
    POSITIVE LOGITS
     eligibility
    1.27
     exemptions
    1.23
     exemption
    1.17
     waivers
    1.07
     taxable
    1.06
     rebate
    1.04
     exempt
    1.03
     permit
    1.02
     levy
    0.99
     registration
    0.99
    Activations Density 0.984%

    No Known Activations