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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. 7-RES-JB
    11. 17269
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    Explanations

    references to historical events or a person's personal history

    oai_token-act-pair · gpt-3.5-turbo

    references to historical events or the concept of the past

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anguage
    -0.78
    wagon
    -0.75
    shapeshifter
    -0.73
    hyde
    -0.67
    mand
    -0.66
    lee
    -0.64
    NEY
    -0.64
    ately
    -0.63
    Downloadha
    -0.63
    zhen
    -0.63
    POSITIVE LOGITS
    ebin
    1.55
    iche
    1.17
     tense
    1.05
    ures
    1.01
    ime
    1.00
    orate
    0.92
    imes
    0.91
     generations
    0.84
    oral
    0.80
    ure
    0.77
    Activations Density 0.029%

    No Known Activations