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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. 5-RES-JB
    6. 20914
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    Explanations

    proper nouns related to governmental or organizational entities with the word "People" in their name

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "People" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     flatt
    -0.71
     quo
    -0.68
    roll
    -0.65
    inet
    -0.64
     shape
    -0.63
     trim
    -0.62
    cv
    -0.61
     ric
    -0.60
    ral
    -0.60
     tact
    -0.60
    POSITIVE LOGITS
     Rights
    1.08
     Matters
    0.99
     Programs
    0.95
     Responsibility
    0.94
     Club
    0.89
     Clinic
    0.88
     Disorder
    0.88
    itarian
    0.86
     Activities
    0.86
     Week
    0.86
    Activations Density 0.079%

    No Known Activations