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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. 4-RES-JB
    11. 1152
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    INDEX
    Explanations

    words related to business, legal terms, and company names

    oai_token-act-pair · gpt-3.5-turbo

    names of entities, possibly in the context of films or media

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

    No Comments

    Negative Logits
    etheless
    -0.84
    acters
    -0.66
    IBLE
    -0.66
    BILITY
    -0.66
    2200
    -0.62
     destro
    -0.62
    ATIONAL
    -0.61
    ITED
    -0.60
    ä¸ī
    -0.60
    éĹ
    -0.59
    POSITIVE LOGITS
    ley
    0.88
    haus
    0.81
    hend
    0.80
    ona
    0.80
     Mile
    0.77
     Boat
    0.77
    enberg
    0.72
    kell
    0.71
    z
    0.71
    Nap
    0.70
    Activations Density 0.522%

    No Known Activations