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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. 6-RES-JB
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    Explanations

    mentions of Northwestern University

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Northwestern University and associated individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    auga
    -0.71
    ables
    -0.69
    phies
    -0.67
    prints
    -0.67
     snipp
    -0.66
    oshenko
    -0.65
    lete
    -0.63
    hiba
    -0.63
    cano
    -0.62
     Skydragon
    -0.62
    POSITIVE LOGITS
    erest
    0.89
    keyes
    0.86
    mble
    0.81
    igan
    0.80
    HAEL
    0.75
    iversal
    0.73
     Goodman
    0.73
    ocular
    0.72
    igans
    0.72
    sson
    0.71
    Activations Density 0.066%

    No Known Activations