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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. 12-RES-JB
    11. 3135
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    Explanations

    descriptions related to effort and work required in a situation

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases emphasizing effort and the work involved in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rall
    -0.79
    igmat
    -0.68
     shade
    -0.65
     anomal
    -0.64
    Ń·
    -0.63
     Tribune
    -0.62
    iatus
    -0.61
     rupture
    -0.60
    Topic
    -0.60
    unknown
    -0.59
    POSITIVE LOGITS
     expended
    1.44
     invested
    1.30
     spent
    1.08
     devoted
    1.07
     poured
    1.04
     exerted
    1.03
     wasted
    0.93
    put
    0.91
     put
    0.90
    staking
    0.89
    Activations Density 0.259%

    No Known Activations