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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. 22718
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    Explanations

    entities related to television networks or programming

    oai_token-act-pair · gpt-3.5-turbo

    mentions of television networks

    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
    ertodd
    -0.71
     Flask
    -0.69
    dyl
    -0.69
    ggies
    -0.68
    ometry
    -0.68
    olulu
    -0.67
     ut
    -0.65
     flask
    -0.64
    quez
    -0.64
    auna
    -0.64
    POSITIVE LOGITS
     Films
    1.32
     Studios
    1.29
    TV
    1.22
     Television
    1.22
     Networks
    1.11
     Broadcasting
    1.08
     TV
    1.08
    Universal
    1.07
     Productions
    1.05
     Movies
    1.04
    Activations Density 0.176%

    No Known Activations