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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. 4-RES-JB
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    Explanations

    medical diagnoses

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "diagnosed" related to medical conditions

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

    No Comments

    Negative Logits
    perty
    -0.77
    perm
    -0.69
    hire
    -0.68
    assi
    -0.68
    orthy
    -0.63
     immersion
    -0.62
    pees
    -0.60
     incorporation
    -0.60
     modesty
    -0.59
    edom
    -0.59
    POSITIVE LOGITS
     diagnoses
    0.83
     diagnosed
    0.82
    ostics
    0.82
     Diagn
    0.81
    abetes
    0.81
    ãĤ¼
    0.79
    osis
    0.76
    ostic
    0.76
     Symptoms
    0.75
    roid
    0.75
    Activations Density 0.014%

    No Known Activations