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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. 9-RES-JB
    11. 17687
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    Explanations

    phrases related to prevention or hindrance of various actions or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate prevention or restriction of actions or opportunities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çĶ°
    -0.85
    ãĤ©
    -0.80
    soDeliveryDate
    -0.69
    introdu
    -0.67
    staking
    -0.64
    framework
    -0.62
    not
    -0.62
     introducing
    -0.62
    ossibility
    -0.61
    probably
    -0.60
    POSITIVE LOGITS
     anymore
    1.25
     altogether
    1.09
     nor
    0.95
     whatsoever
    0.87
     anything
    0.83
     any
    0.76
     meaningful
    0.74
     harmful
    0.73
     properly
    0.71
    ¬¼
    0.70
    Activations Density 0.364%

    No Known Activations