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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. 23556
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    Explanations

    instances where individuals or groups are involved in specific actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "to be" in various tenses

    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
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    No Comments

    Negative Logits
     Highlights
    -0.69
     Highlands
    -0.65
    ertodd
    -0.65
    inav
    -0.64
     override
    -0.61
    heny
    -0.60
    Õ
    -0.60
     Shall
    -0.60
    =-=-
    -0.59
     Space
    -0.59
    POSITIVE LOGITS
     supposed
    1.14
     accustomed
    1.03
     doing
    0.98
     able
    0.98
     going
    0.97
     experiencing
    0.92
     destined
    0.92
     trying
    0.91
     aware
    0.89
     gonna
    0.88
    Activations Density 0.164%

    No Known Activations