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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. 21998
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    Explanations

    sports scores with the winning team's score appearing first

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics related to sports

    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
    objects
    -0.74
    agna
    -0.73
    cair
    -0.65
     Member
    -0.65
     Thumbnails
    -0.65
    SPONSORED
    -0.64
    antha
    -0.64
    knowledge
    -0.63
    nee
    -0.63
    wordpress
    -0.63
    POSITIVE LOGITS
     overtime
    0.85
     undefeated
    0.81
     underdog
    0.77
     halftime
    0.73
     unbeaten
    0.69
     aggregate
    0.68
     formation
    0.67
     scrimmage
    0.67
     mph
    0.66
     lockdown
    0.66
    Activations Density 0.063%

    No Known Activations