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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. 1535
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    Explanations

    phrases related to environmental disasters and their consequences

    oai_token-act-pair · gpt-3.5-turbo

    mentions of origins or sources

    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
    merce
    -0.78
    äºĶ
    -0.75
    faced
    -0.75
    quote
    -0.75
    video
    -0.73
    olson
    -0.72
    ratulations
    -0.71
    inion
    -0.71
    iden
    -0.70
    女
    -0.70
    POSITIVE LOGITS
     afar
    1.51
     whence
    0.97
     abroad
    0.91
     inside
    0.90
     scratch
    0.84
     within
    0.83
     outside
    0.80
     atop
    0.79
     thence
    0.79
     beneath
    0.77
    Activations Density 0.157%

    No Known Activations