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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 15074
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    Explanations

    mentions of the character "Doctor" in a sci-fi or medical context

    oai_token-act-pair · gpt-3.5-turbo

    the word "Doctor" and its various occurrences in context

    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
     actionGroup
    -0.94
     deleting
    -0.65
     rout
    -0.65
    tag
    -0.64
     dispersed
    -0.64
     envelope
    -0.63
     nerve
    -0.62
    HUD
    -0.62
    twitter
    -0.61
    EFF
    -0.61
    POSITIVE LOGITS
     Doctor
    1.18
    Doctor
    0.94
    sonian
    0.93
    iatus
    0.91
    abase
    0.88
     Doctors
    0.87
     Who
    0.85
    iatric
    0.84
    ARDIS
    0.83
    doctor
    0.80
    Activations Density 0.006%

    No Known Activations