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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. 7-RES-JB
    11. 15210
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    Explanations

    detailed and intricate descriptions or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to complexity or detailed descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zone
    -0.85
    utral
    -0.82
    thood
    -0.80
    aneers
    -0.78
    =-=-=-=-=-=-=-=-
    -0.76
    lean
    -0.72
    undle
    -0.72
    track
    -0.71
    Runner
    -0.71
    spot
    -0.70
    POSITIVE LOGITS
     elaborate
    0.80
     arrangements
    0.77
     intricate
    0.72
     arrang
    0.72
     schooling
    0.71
    acebook
    0.71
     embell
    0.70
     arrangement
    0.68
     latt
    0.67
     amounts
    0.67
    Activations Density 0.057%

    No Known Activations