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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. 14389
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    Explanations

    descriptions of attributes or conditions related to certain entities

    oai_token-act-pair · gpt-3.5-turbo

    relative clauses or phrases that provide additional information about a subject

    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
    engers
    -0.77
     Bott
    -0.67
     Cabin
    -0.63
     Quart
    -0.63
     docking
    -0.60
     Pets
    -0.58
     Thoughts
    -0.56
    "],
    -0.56
     Checking
    -0.56
     Passive
    -0.56
    POSITIVE LOGITS
    ¥µ
    0.86
    ¿½
    0.83
     ordinarily
    0.79
    nery
    0.78
    luaj
    0.76
    İĭ
    0.75
     starved
    0.74
    yip
    0.73
    ozy
    0.73
    milo
    0.73
    Activations Density 0.209%

    No Known Activations