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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. 8-RES-JB
    11. 16813
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    Explanations

    specific pronouns and verbs such as 'I,' 'he,' 'we,' 'us,' 'have,' 'had,' and 'doing.'

    oai_token-act-pair · gpt-3.5-turbo

    pronouns and references to individuals or entities involved in actions or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gratification
    -0.73
    ITAL
    -0.59
    FORE
    -0.57
     Rig
    -0.57
     Schiff
    -0.56
    ellen
    -0.56
     Barron
    -0.55
    dim
    -0.55
    inks
    -0.55
     inertia
    -0.55
    POSITIVE LOGITS
     encountered
    1.12
     mentioned
    1.01
     encount
    0.97
     fielded
    0.95
     analysed
    0.93
     discussed
    0.92
     experimented
    0.89
     visited
    0.89
     reviewed
    0.87
     analyzed
    0.87
    Activations Density 0.192%

    No Known Activations