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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. 16595
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    Explanations

    phrases related to expressing the need for action or change

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing a necessity or requirement for action

    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
    ulty
    -0.62
    kid
    -0.62
    anka
    -0.61
    cohol
    -0.61
    azar
    -0.60
    ishi
    -0.59
    washer
    -0.58
     âĨij
    -0.58
    rimination
    -0.56
     Sod
    -0.56
    POSITIVE LOGITS
    lessly
    1.15
     urgently
    0.88
     assurances
    0.88
    n
    0.86
     answers
    0.79
     reinforcements
    0.77
     help
    0.76
     to
    0.74
     somebody
    0.74
     HELP
    0.74
    Activations Density 0.077%

    No Known Activations