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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. 4337
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    INDEX
    Explanations

    actions related to sports or competitions

    oai_token-act-pair · gpt-3.5-turbo

    key action verbs related to sports performance and achievements

    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
    orno
    -0.76
     Rowling
    -0.74
     sponsoring
    -0.73
    microsoft
    -0.72
    Journal
    -0.70
     Mormons
    -0.66
     Settlement
    -0.66
     Authorization
    -0.66
     )]
    -0.65
    nih
    -0.64
    POSITIVE LOGITS
     clutch
    0.98
     defensively
    0.86
     midfield
    0.85
     unbeaten
    0.83
     teammates
    0.83
     teammate
    0.82
     backfield
    0.82
     standout
    0.81
     offensively
    0.80
    GGGGGGGG
    0.80
    Activations Density 0.255%

    No Known Activations