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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. 4-RES-JB
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    Explanations

    yard measurements

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terms related to yardage measurements in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    isen
    -0.80
    netflix
    -0.75
    olia
    -0.73
    ename
    -0.71
    hess
    -0.66
     unequ
    -0.66
    atively
    -0.65
    aido
    -0.64
    VPN
    -0.64
    igm
    -0.63
    POSITIVE LOGITS
     touchdown
    0.78
     coach
    0.72
     Kare
    0.69
    Coach
    0.69
    yard
    0.66
     newcom
    0.66
     cornerback
    0.65
     drills
    0.64
     Isaiah
    0.64
     Birds
    0.63
    Activations Density 0.013%

    No Known Activations