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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. 3747
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    Explanations

    names of companies or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific entities or products, particularly in a technical or scientific context

    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
     embell
    -0.70
     ILCS
    -0.69
    é¾įå¥ij士
    -0.65
    reenshot
    -0.64
     CLSID
    -0.64
     unsupported
    -0.63
    ãĤ©
    -0.62
     substitutes
    -0.61
    ................................................................
    -0.61
    urther
    -0.60
    POSITIVE LOGITS
    DS
    0.79
    Q
    0.79
    ZX
    0.79
    ML
    0.78
    OT
    0.77
    ETS
    0.77
    GBT
    0.77
    TP
    0.76
     Rack
    0.76
    BD
    0.75
    Activations Density 0.109%

    No Known Activations