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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. 2-RES-JB
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    Explanations

    the word "trailer"

    oai_token-act-pair · gpt-3.5-turbo

    references to movie trailers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ternity
    -0.77
    reme
    -0.76
    gans
    -0.76
    urrency
    -0.74
    hard
    -0.70
    ¬¼
    -0.69
    Ĭ±
    -0.66
    orio
    -0.66
    wealth
    -0.64
    ederation
    -0.64
    POSITIVE LOGITS
     trailer
    1.24
     trailers
    1.03
     Trailer
    0.94
     hitch
    0.88
     teaser
    0.70
    ographer
    0.69
     projector
    0.65
    pole
    0.64
     clip
    0.62
    ographers
    0.62
    Activations Density 0.011%

    No Known Activations