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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. 2-RES-JB
    11. 11248
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    Explanations

    phrases related to football sacks

    oai_token-act-pair · gpt-3.5-turbo

    terms related to football tackles and defensive plays

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bidden
    -0.68
    mercial
    -0.66
    ele
    -0.65
    majority
    -0.64
    ague
    -0.62
    irect
    -0.61
     neighborhood
    -0.61
    >>>>>>>>
    -0.60
    expensive
    -0.59
    enfranch
    -0.59
    POSITIVE LOGITS
     sack
    1.26
     sacks
    1.10
     Sack
    0.93
    cloth
    0.88
    tackle
    0.85
    ption
    0.79
    buster
    0.78
    ables
    0.77
    aging
    0.72
    ernels
    0.71
    Activations Density 0.007%

    No Known Activations