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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. 9411
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    INDEX
    Explanations

    instances of the phrase "year X," focusing on specific years

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years in relation to sports or player seasons

    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
     Cosponsors
    -0.79
    ARDIS
    -0.77
     Panel
    -0.75
    paces
    -0.74
    abeth
    -0.73
    aughtered
    -0.72
    ļéĨĴ
    -0.71
    anguage
    -0.71
    insula
    -0.70
     encl
    -0.70
    POSITIVE LOGITS
     Rookie
    0.82
    players
    0.79
     undrafted
    0.79
    venge
    0.78
     rookie
    0.77
     rookies
    0.76
     coached
    0.75
     QB
    0.73
     olds
    0.71
    contract
    0.70
    Activations Density 0.078%

    No Known Activations