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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. 23196
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    Explanations

    references to events or listings

    oai_token-act-pair · gpt-3.5-turbo

    instances of significant live events or broadcasts

    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
    Merit
    -0.89
    itar
    -0.81
    hei
    -0.81
    ahu
    -0.76
    forces
    -0.75
    ndra
    -0.72
    Factor
    -0.71
    ieve
    -0.71
    ocrats
    -0.71
    ivas
    -0.70
    POSITIVE LOGITS
     commentary
    1.42
     annotations
    1.36
     screenshots
    1.34
     excerpts
    1.30
     transcripts
    1.29
     previews
    1.26
     descriptions
    1.25
     photos
    1.20
     interviews
    1.19
     pics
    1.18
    Activations Density 0.442%

    No Known Activations