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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. 10-RES-JB
    11. 6081
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    INDEX
    Explanations

    phrases related to sports competitions and match outcomes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports semifinals and finals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hart
    -0.74
    atech
    -0.72
    uni
    -0.69
    grow
    -0.69
    lein
    -0.68
    Adventure
    -0.67
    kun
    -0.67
    resp
    -0.66
     Spears
    -0.65
    velt
    -0.64
    POSITIVE LOGITS
     qualifier
    1.13
     semifinals
    1.09
     rematch
    1.08
     berth
    1.06
     matchup
    1.03
     showdown
    1.02
     finals
    1.01
    ists
    0.99
     qualifiers
    0.98
     bracket
    0.97
    Activations Density 0.078%

    No Known Activations