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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. 9-RES-JB
    11. 9014
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    Explanations

    phrases related to motion pictures or films

    oai_token-act-pair · gpt-3.5-turbo

    references to motion pictures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    scl
    -0.73
    rosso
    -0.69
    dds
    -0.69
    MJ
    -0.66
    ãĤ¨ãĥ«
    -0.65
    renheit
    -0.65
     APR
    -0.64
     Chap
    -0.63
    soDeliveryDate
    -0.63
    arding
    -0.63
    POSITIVE LOGITS
     sickness
    1.01
     blur
    0.93
     Picture
    0.85
     motion
    0.85
    picture
    0.85
    Motion
    0.78
     picture
    0.76
    eering
    0.75
    immune
    0.73
    less
    0.71
    Activations Density 0.040%

    No Known Activations