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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. 1-RES-JB
    11. 20054
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    Explanations

    terms related to strong will or resolve

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the concept of determination

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rium
    -0.75
    aday
    -0.66
     Wrap
    -0.65
    rams
    -0.64
    nic
    -0.63
    PG
    -0.63
    cock
    -0.60
    orthy
    -0.60
    iday
    -0.60
    sites
    -0.59
    POSITIVE LOGITS
     determination
    1.03
     conflic
    0.77
     determin
    0.77
     rul
    0.76
    determination
    0.75
    etermination
    0.73
     ACTIONS
    0.71
    yip
    0.71
    claw
    0.70
     fulfillment
    0.70
    Activations Density 0.007%

    No Known Activations