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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
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    Explanations

    terms related to mental health

    oai_token-act-pair · gpt-3.5-turbo

    terms related to mental health and its various aspects

    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
     ISO
    -0.84
    SN
    -0.76
     Collider
    -0.74
     Cities
    -0.70
     Arrows
    -0.69
     Lunar
    -0.69
     Alc
    -0.67
    Ô
    -0.66
    Vel
    -0.65
    Dir
    -0.64
    POSITIVE LOGITS
     counselors
    1.08
    ilitating
    1.04
     counselor
    1.03
     disorder
    0.98
     therapists
    0.95
     disorders
    0.95
     therapist
    0.90
     counseling
    0.90
    ishop
    0.86
     diagnoses
    0.82
    Activations Density 0.068%

    No Known Activations