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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. 8-RES-JB
    11. 10712
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    Explanations

    references to specific dollar amounts

    oai_token-act-pair · gpt-3.5-turbo

    monetary values or prices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Freed
    -0.72
     Intervention
    -0.68
     Pend
    -0.68
     Gors
    -0.68
     htt
    -0.67
     boun
    -0.66
     Carbuncle
    -0.64
     Vid
    -0.64
     Valent
    -0.64
     Pixie
    -0.63
    POSITIVE LOGITS
    100
    1.19
    250
    1.13
    400
    1.12
    300
    1.12
    200
    1.12
    150
    1.11
    500
    1.11
    10
    1.11
    1
    1.10
    600
    1.08
    Activations Density 0.082%

    No Known Activations