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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. 208
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    oai_token-act-pair · gpt-3.5-turbo

    keywords related to enterprise technology and applications

    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
    pheus
    -0.90
    abet
    -0.78
    kowski
    -0.76
    odiac
    -0.75
    eral
    -0.74
    imir
    -0.73
    ifiers
    -0.73
    uel
    -0.73
    oon
    -0.72
    hemy
    -0.72
    POSITIVE LOGITS
    prise
    0.86
     tenancy
    0.75
    tainment
    0.75
     tenant
    0.75
     Partnership
    0.72
    igent
    0.72
    wide
    0.71
     365
    0.71
     nomine
    0.70
     ventures
    0.69
    Activations Density 0.029%

    No Known Activations