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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. 14372
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    Explanations

    mentions of physical ailments or conditions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of illness or being unwell

    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
     compr
    -0.65
    ETHOD
    -0.65
     unlaw
    -0.64
     Goodwin
    -0.64
     Unch
    -0.64
     Hier
    -0.63
    wcsstore
    -0.63
     unden
    -0.60
     guid
    -0.60
    merce
    -0.60
    POSITIVE LOGITS
    ening
    1.51
    ened
    1.44
    bay
    1.24
    ly
    0.95
    le
    0.93
    nesses
    0.93
    er
    0.88
    estro
    0.88
    ens
    0.88
    erton
    0.87
    Activations Density 0.033%

    No Known Activations