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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. 6-RES-JB
    11. 13788
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    Explanations

    years mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2009

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onite
    -0.87
    othing
    -0.70
    amins
    -0.69
    heid
    -0.67
    orable
    -0.66
    ealing
    -0.65
    esan
    -0.64
    onal
    -0.63
    kef
    -0.62
    naire
    -0.61
    POSITIVE LOGITS
    å¹
    0.84
    -'
    0.73
    06
    0.72
    08
    0.69
    master
    0.68
     onwards
    0.65
    05
    0.65
    07
    0.62
    03
    0.61
    interstitial
    0.60
    Activations Density 0.019%

    No Known Activations