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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. 8-RES-JB
    11. 8624
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    Explanations

    phrases related to depth in a sports context

    oai_token-act-pair · gpt-3.5-turbo

    references to player depth and performance within a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     OPER
    -0.77
     Hobby
    -0.75
     UNESCO
    -0.73
    eva
    -0.71
    atom
    -0.70
     Advertising
    -0.69
     ®
    -0.69
     Breath
    -0.66
     Feminist
    -0.65
     Wedding
    -0.65
    POSITIVE LOGITS
     signings
    1.19
     talent
    1.16
     rookies
    1.15
     undrafted
    1.14
     players
    1.13
     roster
    1.11
     rookie
    1.11
     player
    1.05
    Players
    1.03
     teammate
    1.01
    Activations Density 0.260%

    No Known Activations