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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. 7-RES-JB
    11. 11127
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    Explanations

    questions or statements in a dialogue with specific characters mentioned

    oai_token-act-pair · gpt-3.5-turbo

    dialogue and questioning interactions between characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     administrations
    -0.75
     NCT
    -0.72
     conflic
    -0.70
    artifacts
    -0.69
    osponsors
    -0.67
    wcs
    -0.67
    inatory
    -0.66
     proport
    -0.66
    osate
    -0.65
     invests
    -0.64
    POSITIVE LOGITS
     aloud
    0.90
     loudly
    0.86
     softly
    0.86
     calmly
    0.85
     sarcast
    0.84
     angrily
    0.83
     nervously
    0.82
     louder
    0.81
     confidently
    0.80
     patiently
    0.78
    Activations Density 0.160%

    No Known Activations