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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. 2696
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    Explanations

    titles or references to individuals in positions of authority

    oai_token-act-pair · gpt-3.5-turbo

    repetitive usage of the word "or"

    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
    inctions
    -0.65
     peaks
    -0.62
     popular
    -0.61
    assadors
    -0.61
    soDeliveryDate
    -0.61
     contrad
    -0.59
    tnc
    -0.59
     borders
    -0.58
     backups
    -0.58
     VIDEOS
    -0.58
    POSITIVE LOGITS
    onto
    1.06
    ific
    1.05
    orate
    1.04
    chid
    1.01
    andom
    0.98
    Else
    0.97
    phans
    0.96
    or
    0.93
    acle
    0.92
    adic
    0.91
    Activations Density 0.027%

    No Known Activations