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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. 1-RES-JB
    11. 5120
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    Explanations

    references to specific years, particularly 2015

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2015

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     srf
    -0.76
     cumbers
    -0.74
     tremend
    -0.74
    phy
    -0.72
     ship
    -0.71
     exha
    -0.70
    sembly
    -0.70
    osponsors
    -0.69
    ucle
    -0.69
     notor
    -0.68
    POSITIVE LOGITS
    å¹
    0.95
    20439
    0.88
    -'
    0.82
    2015
    0.82
     2015
    0.79
    gress
    0.75
     onwards
    0.74
     Aviv
    0.74
    âĢ²
    0.73
     Trudeau
    0.72
    Activations Density 0.025%

    No Known Activations