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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. 3-RES-JB
    11. 310
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    Explanations

    mentions of individuals with mental health concerns

    oai_token-act-pair · gpt-3.5-turbo

    terms related to mental health and illness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Intent
    -0.71
    Companies
    -0.68
     Commissioners
    -0.68
     Vend
    -0.64
     Prospect
    -0.62
     publication
    -0.62
     Aval
    -0.61
    eer
    -0.61
     Annotations
    -0.60
     Fairy
    -0.59
    POSITIVE LOGITS
    ependent
    0.91
     retarded
    0.90
     defic
    0.86
    etically
    0.84
    pecially
    0.78
     challenged
    0.74
    rolet
    0.74
    uitive
    0.74
    onding
    0.71
    ognitive
    0.69
    Activations Density 0.007%

    No Known Activations