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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. 19465
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    Explanations

    references to decades, particularly focusing on years ending in 's

    oai_token-act-pair · gpt-3.5-turbo

    references to the 1970s decade

    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
    FIN
    -0.69
    yz
    -0.69
    EStream
    -0.68
    LET
    -0.68
    ARI
    -0.66
    SET
    -0.65
    irtual
    -0.65
    è»
    -0.63
    RAG
    -0.63
    tains
    -0.62
    POSITIVE LOGITS
    ourcing
    0.99
    ources
    0.90
    outhern
    0.86
    ourced
    0.85
    ustain
    0.82
    kaya
    0.82
    essions
    0.81
    ixties
    0.80
    igmatic
    0.78
    olutions
    0.76
    Activations Density 0.090%

    No Known Activations