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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. 3566
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    Explanations

    proper names related to individuals named Will

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals named "Will" and "Did" in the context of events or situations

    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
    etheless
    -0.74
     somew
    -0.73
    PDATE
    -0.72
    äºĶ
    -0.70
    ç·
    -0.69
    Closure
    -0.68
     anonymity
    -0.68
    lished
    -0.65
    NetMessage
    -0.65
    ptoms
    -0.65
    POSITIVE LOGITS
    ilon
    1.03
    lems
    0.92
    lem
    0.89
    aque
    0.85
    iston
    0.82
    ams
    0.82
    avan
    0.81
    agen
    0.77
    atson
    0.76
    vas
    0.75
    Activations Density 0.100%

    No Known Activations