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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. 6-RES-JB
    11. 12209
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    Explanations

    names of television programs and events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific days and events tied to media broadcasts and their timings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.84
    ortium
    -0.82
     acronym
    -0.79
    ä½ľ
    -0.78
    actionDate
    -0.74
     looph
    -0.73
    uthor
    -0.73
    è¦ļéĨĴ
    -0.72
    rency
    -0.68
    ©¶æ¥µ
    -0.68
    POSITIVE LOGITS
     Nights
    0.82
     Carnival
    0.79
    morning
    0.78
    stice
    0.78
     Thurs
    0.77
     holidays
    0.77
     vacations
    0.73
     festivities
    0.73
     Recre
    0.71
     eve
    0.70
    Activations Density 0.544%

    No Known Activations