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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. 14419
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    Explanations

    words related to activities and interactions involving people

    oai_token-act-pair · gpt-3.5-turbo

    mentions of actions and states involving subjects and their respective contexts or conditions

    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
    rones
    -0.64
    ··
    -0.64
    allery
    -0.62
    )--
    -0.61
     colonies
    -0.60
    ãĢį
    -0.58
    ogens
    -0.57
    éŃĶ
    -0.57
     peg
    -0.57
     Persons
    -0.56
    POSITIVE LOGITS
     indeed
    0.99
     "
    0.88
     misunderstood
    0.85
     unfairly
    0.84
     "...
    0.83
     "[
    0.81
    absolutely
    0.81
     "âĢ¦
    0.78
     "'
    0.78
     ""
    0.76
    Activations Density 0.366%

    No Known Activations