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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. 4943
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    Explanations

    words related to success or achievement

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to success and successful outcomes

    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
    anguage
    -0.68
    oline
    -0.67
    alon
    -0.67
    oths
    -0.66
    pick
    -0.65
    erton
    -0.65
    othy
    -0.64
    ioxide
    -0.64
    thirst
    -0.61
    Natural
    -0.60
    POSITIVE LOGITS
     completion
    0.99
     bidder
    0.96
     integration
    0.77
     applicant
    0.75
     navig
    0.74
    TAIN
    0.73
     outcome
    0.71
     Kickstarter
    0.71
    ullivan
    0.67
     outreach
    0.66
    Activations Density 0.041%

    No Known Activations