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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. 11-RES-JB
    11. 1090
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    Explanations

    mentions of specific models, especially in a technical or manufacturing context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific models or versions of products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    azar
    -0.81
    ulhu
    -0.80
    omen
    -0.77
    OME
    -0.76
    pin
    -0.72
    stand
    -0.69
    stant
    -0.68
    èª
    -0.66
    POSE
    -0.66
     Pradesh
    -0.64
    POSITIVE LOGITS
     organism
    0.94
     Mayhem
    0.79
     Penal
    0.77
    er
    0.75
    ered
    0.74
     organisms
    0.71
    etter
    0.70
    hetical
    0.68
     railroad
    0.66
    urer
    0.65
    Activations Density 0.059%

    No Known Activations