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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. 3247
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    Explanations

    dates in the format "Month Day" or "Month Day Year"

    oai_token-act-pair · gpt-3.5-turbo

    specific dates, particularly in the month of June

    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
    Interstitial
    -0.93
     denomin
    -0.72
     arrang
    -0.72
     predec
    -0.71
    achus
    -0.68
     exha
    -0.68
     behavi
    -0.65
    anca
    -0.64
    igham
    -0.64
     pree
    -0.63
    POSITIVE LOGITS
    bug
    1.02
    eteenth
    0.95
    flower
    0.94
    au
    0.93
    fair
    0.85
     29
    0.84
     2017
    0.84
     2015
    0.84
     2013
    0.83
     2014
    0.83
    Activations Density 0.026%

    No Known Activations