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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. 6-RES-JB
    11. 14515
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    Explanations

    references to DVDs

    oai_token-act-pair · gpt-3.5-turbo

    mentions of DVDs and Blu-ray discs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    adow
    -0.78
    imov
    -0.73
    olean
    -0.71
    cientious
    -0.70
    abis
    -0.69
    ospace
    -0.69
    affe
    -0.69
    adows
    -0.69
    ationally
    -0.68
    unin
    -0.68
    POSITIVE LOGITS
     DVD
    0.81
    UE
    0.77
     recorder
    0.77
     playback
    0.76
    YC
    0.75
    Player
    0.75
    ITION
    0.75
    RECT
    0.73
    CAST
    0.73
    DVD
    0.71
    Activations Density 0.014%

    No Known Activations