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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. 0-RES-JB
    11. 19169
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    Explanations

    words related to providing specific details or instructions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "specify" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lessons
    -0.73
     Laugh
    -0.69
     lull
    -0.68
     lesson
    -0.67
     pillars
    -0.61
     feeling
    -0.61
     lost
    -0.61
     Elder
    -0.60
     Brave
    -0.60
    etta
    -0.60
    POSITIVE LOGITS
     specify
    3.13
     specifies
    2.36
     specifying
    2.29
     specified
    1.95
    specified
    1.73
     designate
    1.38
     omit
    1.35
     optionally
    1.32
     explicitly
    1.30
     Spec
    1.27
    Activations Density 0.024%

    No Known Activations