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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. 23249
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    Explanations

    specific timestamps indicated in GMT format

    oai_token-act-pair · gpt-3.5-turbo

    references to time zones

    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
    kus
    -0.67
    pton
    -0.66
    ston
    -0.66
     resemb
    -0.62
    sel
    -0.62
    Ted
    -0.62
    tons
    -0.62
    chel
    -0.62
    bor
    -0.61
    mable
    -0.61
    POSITIVE LOGITS
    +
    0.97
    /+
    0.92
     (+
    0.83
    +.
    0.82
     GMT
    0.80
    +,
    0.79
    UTC
    0.76
    /$
    0.73
    eral
    0.73
    NB
    0.72
    Activations Density 0.026%

    No Known Activations