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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. 8-RES-JB
    11. 16905
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    Explanations

    mentions of locations in nature, particularly woodlands and mountains

    oai_token-act-pair · gpt-3.5-turbo

    references to natural settings, particularly woods and mountainous terrain

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Emails
    -0.77
    OPA
    -0.68
    ASED
    -0.66
     faulty
    -0.65
    Gender
    -0.65
    ploma
    -0.65
     Sponsor
    -0.64
     digit
    -0.64
    ãĥīãĥ©
    -0.63
    uthor
    -0.63
    POSITIVE LOGITS
     valley
    1.15
     footh
    1.10
     hills
    1.09
     slopes
    1.09
     valleys
    1.09
     woodland
    1.05
     overlooking
    1.05
     vegetation
    1.05
     mountainous
    1.03
     woods
    1.03
    Activations Density 0.296%

    No Known Activations