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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. 23707
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    Explanations

    conditions related to mental health, particularly focusing on depression and related symptoms

    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 @ 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
    nel
    -0.77
    ateur
    -0.77
    Reply
    -0.75
    lay
    -0.74
    seeing
    -0.74
    ouver
    -0.73
    xon
    -0.73
    join
    -0.72
    nels
    -0.71
    aque
    -0.69
    POSITIVE LOGITS
     relapse
    1.08
     depressive
    0.96
     symptoms
    0.87
     depression
    0.87
     diagnosis
    0.87
     medication
    0.86
     mood
    0.83
     symptom
    0.81
     Mood
    0.79
     disorder
    0.79
    Activations Density 0.080%

    No Known Activations