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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. 17769
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    Explanations

    names of individuals, particularly athletes

    oai_token-act-pair · gpt-3.5-turbo

    proper names, particularly those related to individuals in sports or entertainment contexts

    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
    swer
    -0.90
    iary
    -0.89
    son
    -0.86
    ey
    -0.84
    ians
    -0.80
    ity
    -0.78
    inates
    -0.77
    thouse
    -0.74
    ded
    -0.73
    ication
    -0.73
    POSITIVE LOGITS
    atures
    0.70
    Wi
    0.66
    chair
    0.66
     Cao
    0.63
     Clash
    0.63
     Swift
    0.63
    ature
    0.62
     lymph
    0.61
     Eag
    0.60
    ength
    0.59
    Activations Density 0.164%

    No Known Activations