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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. 6-RES-JB
    11. 469
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    Explanations

    medical diagnoses and related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to medical diagnoses and health conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    perty
    -0.81
    hire
    -0.76
    lav
    -0.72
     dstg
    -0.65
     leisure
    -0.65
    athi
    -0.65
    atility
    -0.65
    pin
    -0.65
    ogle
    -0.64
    rit
    -0.64
    POSITIVE LOGITS
    ostics
    1.16
     Diagn
    1.06
    ostic
    1.05
     diagnoses
    1.04
     diagnosis
    0.98
    osis
    0.87
     diagnosed
    0.83
     diagn
    0.81
    agn
    0.81
    abetes
    0.81
    Activations Density 0.021%

    No Known Activations