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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. 8541
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    Explanations

    phrases that stress the importance of something or allude to a complete collection or set

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the word "All" in various contexts

    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
    rir
    -0.72
    atro
    -0.68
    IDS
    -0.66
    dl
    -0.63
    assembly
    -0.63
    aminer
    -0.62
    undai
    -0.60
     gal
    -0.58
    existent
    -0.58
    edin
    -0.57
    POSITIVE LOGITS
    iances
    1.18
    owing
    1.17
    ocating
    1.15
    ocate
    1.14
    iance
    1.14
    ocated
    1.06
    ocation
    1.05
    owed
    1.00
     kinds
    0.95
    ocations
    0.94
    Activations Density 0.090%

    No Known Activations