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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. 18034
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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific character or unusual symbols in the text

    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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    No Comments

    Negative Logits
     mathemat
    -0.80
     fortun
    -0.71
     sacrific
    -0.69
     myster
    -0.66
     levers
    -0.65
     notor
    -0.63
     allocation
    -0.63
     princ
    -0.63
     pooled
    -0.62
     Palestin
    -0.62
    POSITIVE LOGITS
    ï¸ı
    0.99
    sic
    0.88
    tal
    0.87
    tre
    0.87
    Tea
    0.84
    tarian
    0.84
    iversary
    0.83
    tsy
    0.83
    mas
    0.82
    own
    0.77
    Activations Density 0.300%

    No Known Activations