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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. 0-RES-JB
    11. 22683
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    Explanations

    television show names followed by their air times

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to television show airings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     RBI
    -0.76
    bnb
    -0.66
     FML
    -0.66
    igsaw
    -0.65
    taboola
    -0.64
    igslist
    -0.64
    rogram
    -0.63
     awoken
    -0.62
     HIT
    -0.62
    EMOTE
    -0.61
    POSITIVE LOGITS
     airs
    3.76
    orth
    1.63
     trunk
    1.07
     premie
    1.07
    Contents
    1.06
     Mysteries
    0.95
    doi
    0.94
    analysis
    0.88
     Examination
    0.86
    continental
    0.81
    Activations Density 0.054%

    No Known Activations