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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. 4862
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    Explanations

    names of characters in a text conversation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific characters in a dialogue context

    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
    20439
    -0.69
    conservancy
    -0.66
     predecessors
    -0.64
    national
    -0.64
     Pione
    -0.63
    Effective
    -0.63
    category
    -0.61
    SPEC
    -0.61
    interstitial
    -0.60
    Interested
    -0.60
    POSITIVE LOGITS
     hesitated
    1.16
     shrugged
    1.09
     laughed
    1.09
     sighed
    1.07
     replied
    1.02
     paused
    0.99
     smiled
    0.98
     gigg
    0.97
     muttered
    0.96
     nodded
    0.96
    Activations Density 0.270%

    No Known Activations