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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. 4-RES-JB
    11. 4571
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    Explanations

    the mention of specific episodes or shows

    oai_token-act-pair · gpt-3.5-turbo

    references to episodes from various television shows

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

    No Comments

    Negative Logits
    hirt
    -0.87
    imei
    -0.84
    anchester
    -0.82
    chwitz
    -0.81
    ctuary
    -0.73
    anders
    -0.73
    anty
    -0.71
    ghan
    -0.70
    athered
    -0.68
    ksh
    -0.68
    POSITIVE LOGITS
     course
    0.79
     Notting
    0.74
     Episode
    0.73
     events
    0.73
    Episode
    0.72
     episodes
    0.71
     trivia
    0.71
     VIDEOS
    0.71
     Celebrity
    0.69
    icial
    0.66
    Activations Density 0.206%

    No Known Activations