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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. 7-RES-JB
    11. 19036
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    Explanations

    phrases related to give instructions or express needs

    oai_token-act-pair · gpt-3.5-turbo

    instances of the contraction "didn't."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     protected
    -0.72
     Panc
    -0.66
     guided
    -0.63
     DRAGON
    -0.62
     retirees
    -0.62
     Directions
    -0.61
     Dise
    -0.61
     PLA
    -0.59
     Duty
    -0.59
     PU
    -0.58
    POSITIVE LOGITS
    't
    1.37
    etsk
    0.98
    ÃŃ
    0.90
    okia
    0.86
    ned
    0.85
    nt
    0.82
    \'
    0.80
    ":"/
    0.80
    kered
    0.79
    nit
    0.77
    Activations Density 0.063%

    No Known Activations