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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. 22668
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    INDEX
    Explanations

    references to sports rankings and standings

    oai_token-act-pair · gpt-3.5-turbo

    references to rankings in various competitive contexts

    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
    Äĩ
    -0.66
    ajor
    -0.66
    ATIONS
    -0.61
    ufact
    -0.60
    cci
    -0.60
     Daylight
    -0.60
     Translation
    -0.59
     Mub
    -0.59
     Griffith
    -0.58
     Lauder
    -0.58
    POSITIVE LOGITS
    most
    1.18
     tier
    1.08
    ographical
    1.03
    deck
    0.96
     drawer
    0.94
    ography
    0.93
    liest
    0.93
     earners
    0.91
     scorer
    0.91
    eka
    0.88
    Activations Density 0.035%

    No Known Activations