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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
    11. 5687
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    Explanations

    information related to user profiles such as usernames and joining dates

    oai_token-act-pair · gpt-3.5-turbo

    identifiers related to users and their profiles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    SPONSORED
    -0.81
     textbooks
    -0.72
    CLOSE
    -0.71
     exposures
    -0.69
     disclosures
    -0.68
     divest
    -0.68
     stemmed
    -0.67
     mortgages
    -0.67
     dismiss
    -0.67
     receptions
    -0.67
    POSITIVE LOGITS
    76561
    1.16
    mr
    1.01
    kat
    1.00
    Anonymous
    0.96
    jay
    0.95
    eric
    0.94
    john
    0.93
    opter
    0.91
    jj
    0.90
    mega
    0.90
    Activations Density 0.211%

    No Known Activations