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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. 9-RES-JB
    11. 23846
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    Explanations

    sports-related activities and personal experiences, particularly playing sports

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to participation in sports or athletic activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endif
    -0.71
    =-=-=-=-=-=-=-=-
    -0.69
    tim
    -0.66
     anymore
    -0.65
    ItemTracker
    -0.65
    isphere
    -0.65
    rians
    -0.64
    pour
    -0.63
    morrow
    -0.62
    iru
    -0.62
    POSITIVE LOGITS
     extensively
    1.08
     unsuccessfully
    1.07
     briefly
    0.96
     stint
    0.89
     undergraduate
    0.86
     numerous
    0.81
     several
    0.80
     undergrad
    0.79
     cler
    0.76
     fourteen
    0.75
    Activations Density 0.240%

    No Known Activations