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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. 2-RES-JB
    11. 22100
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    Explanations

    proper nouns related to geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of canyons and related geographical features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    encers
    -0.89
    encer
    -0.88
    DonaldTrump
    -0.76
    enced
    -0.74
    abol
    -0.74
    iencies
    -0.74
    Soviet
    -0.73
    ews
    -0.71
    ī
    -0.70
    minded
    -0.70
    POSITIVE LOGITS
     Canyon
    1.26
     Creek
    0.98
     canyon
    0.94
     Springs
    0.92
    lake
    0.92
    lands
    0.91
     Valley
    0.86
     Rapids
    0.84
     Blvd
    0.84
     Junction
    0.83
    Activations Density 0.007%

    No Known Activations