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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. 11-RES-JB
    11. 11970
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    Explanations

    lists of action items

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to taking actionable steps or initiatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Devils
    -0.66
     surn
    -0.55
     paras
    -0.55
     helicop
    -0.52
     booking
    -0.52
     Celt
    -0.51
     Drac
    -0.50
     disturbance
    -0.50
    okia
    -0.50
    escription
    -0.50
    POSITIVE LOGITS
    externalActionCode
    0.68
    rast
    0.61
     Actions
    0.60
    wage
    0.59
    Fight
    0.59
    æĸ¹
    0.56
     Petition
    0.53
    Sign
    0.53
    sburgh
    0.52
    reath
    0.52
    Activations Density 0.045%

    No Known Activations