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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. 23464
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    Explanations

    references to specific geographical locations, particularly mountains

    oai_token-act-pair · gpt-3.5-turbo

    mentions of mountains

    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
     briefs
    -0.74
     language
    -0.72
    ister
    -0.63
    xx
    -0.62
     seeker
    -0.61
    cious
    -0.61
     conson
    -0.61
    UGH
    -0.61
     vegetarian
    -0.60
     brief
    -0.59
    POSITIVE LOGITS
    aine
    1.12
     Sinai
    1.10
    aint
    1.09
     Everest
    1.03
    ains
    1.01
     Olympus
    0.90
     Fuji
    0.85
     Pleasant
    0.83
    aining
    0.82
    itudes
    0.79
    Activations Density 0.029%

    No Known Activations