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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. 1-RES-JB
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    Explanations

    keywords related to mental health disorders, especially depression

    oai_token-act-pair · gpt-3.5-turbo

    references to depression and related mental health issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Sources
    -0.90
    tnc
    -0.76
    leon
    -0.75
    source
    -0.75
    Member
    -0.74
    Reply
    -0.74
    Ign
    -0.73
    Polit
    -0.71
    quer
    -0.69
    NAS
    -0.69
    POSITIVE LOGITS
     depression
    1.23
     relapse
    0.92
     depressed
    0.86
     Depression
    0.84
     depressive
    0.83
     depress
    0.82
    idepress
    0.76
     worsen
    0.76
     distress
    0.76
    umbledore
    0.75
    Activations Density 0.011%

    No Known Activations