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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. 7789
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    Explanations

    verbs related to reacting or taking action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "respond" and its variations, indicating discussions about reactions or replies to events or situations

    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
    colo
    -0.74
     Marin
    -0.70
     Demons
    -0.69
     Thieves
    -0.67
    dar
    -0.66
    fil
    -0.65
     Bav
    -0.64
    fre
    -0.63
     Blazers
    -0.62
    cutting
    -0.61
    POSITIVE LOGITS
     favorably
    1.14
     positively
    1.04
     thereto
    0.95
    ivated
    0.94
     harshly
    0.92
     angrily
    0.89
     negatively
    0.89
     adequately
    0.87
     appropriately
    0.87
     promptly
    0.86
    Activations Density 0.041%

    No Known Activations