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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. 11344
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    Explanations

    references to specific years in the 19th and 20th centuries

    oai_token-act-pair · gpt-3.5-turbo

    references to the 19th century and its events

    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
    aminer
    -0.76
    pora
    -0.70
    orc
    -0.70
    anguage
    -0.69
    ité
    -0.68
    heed
    -0.66
    afort
    -0.64
    enture
    -0.63
    anie
    -0.62
     backfield
    -0.61
    POSITIVE LOGITS
    âĸĪâĸĪ
    1.09
    th
    1.01
    61
    0.91
    08
    0.89
    07
    0.88
    05
    0.88
    03
    0.88
    09
    0.86
    06
    0.85
    04
    0.84
    Activations Density 0.039%

    No Known Activations