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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. 5515
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    Explanations

    economic values represented in dollars or currencies

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and financial figures

    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
     boun
    -0.74
     Valent
    -0.67
     Carbuncle
    -0.66
     mailing
    -0.64
     Hert
    -0.64
     Pend
    -0.63
     htt
    -0.63
     twe
    -0.62
     compe
    -0.61
     notice
    -0.61
    POSITIVE LOGITS
    350
    1.17
    100
    1.16
    750
    1.15
    150
    1.14
    260
    1.14
    250
    1.14
    650
    1.14
    300
    1.14
    600
    1.13
    110
    1.13
    Activations Density 0.085%

    No Known Activations