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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. 0-RES-JB
    11. 23205
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    Explanations

    mentions of locations being flooded

    oai_token-act-pair · gpt-3.5-turbo

    terms related to overwhelming situations or disasters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     veto
    -0.69
    Auth
    -0.68
    actic
    -0.67
     Flavoring
    -0.66
     ********************************
    -0.66
    mere
    -0.63
     solicit
    -0.63
     lick
    -0.62
     giveaway
    -0.61
     avail
    -0.61
    POSITIVE LOGITS
     shattered
    2.51
     wrecked
    2.39
     flooded
    2.23
     ruined
    2.22
     overturned
    2.06
     smashed
    2.04
     toppled
    1.93
     crushed
    1.90
     exploded
    1.89
     derailed
    1.81
    Activations Density 0.038%

    No Known Activations