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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. 6-RES-JB
    11. 9920
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    Explanations

    mentions of actions affecting abilities or actions with significant consequences on a larger scale

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the ability or capacity of entities or individuals to act or operate

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcsstore
    -0.82
    lich
    -0.72
     Aware
    -0.67
    Streamer
    -0.66
     Instruct
    -0.64
    Redditor
    -0.62
     Forums
    -0.61
    abe
    -0.60
    CHAT
    -0.60
    uggest
    -0.59
    POSITIVE LOGITS
     altogether
    1.04
     livelihood
    0.87
     limb
    0.84
     entire
    0.83
     inhib
    0.82
     prematurely
    0.80
     cherished
    0.78
    essential
    0.76
     entirely
    0.76
     unnecessarily
    0.74
    Activations Density 0.899%

    No Known Activations