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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. 1-RES-JB
    11. 9039
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    Explanations

    phrases related to medical conditions or terminology, particularly focusing on "oph" as a common ending

    oai_token-act-pair · gpt-3.5-turbo

    words related to various fields of medicine or health

    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
    forth
    -0.76
     Gemini
    -0.72
     Clarks
    -0.67
     squirrel
    -0.64
     buttons
    -0.64
     LINE
    -0.63
     FORM
    -0.62
     stamped
    -0.61
     button
    -0.61
     renamed
    -0.61
    POSITIVE LOGITS
    oph
    1.48
    osate
    1.23
    osph
    1.16
    thal
    1.06
    omore
    1.05
    ophon
    1.00
    oby
    0.99
    ysis
    0.96
    obia
    0.95
    izoph
    0.95
    Activations Density 0.007%

    No Known Activations