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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. 24205
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    Explanations

    proper nouns related to geographical locations, potentially focusing on specific parts or areas within a location

    oai_token-act-pair · gpt-3.5-turbo

    words related to various place names

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     FTC
    -0.61
    ONSORED
    -0.57
     XD
    -0.57
     Acad
    -0.56
     Jed
    -0.55
     JPM
    -0.55
     Pric
    -0.53
    MJ
    -0.53
     Lann
    -0.53
     Olympia
    -0.53
    POSITIVE LOGITS
    lehem
    1.01
    levard
    0.96
    apest
    0.96
    pillar
    0.88
    arest
    0.84
    abase
    0.80
    artisan
    0.79
    ombo
    0.78
    ylon
    0.77
    ause
    0.76
    Activations Density 0.125%

    No Known Activations