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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. 7-RES-JB
    11. 24160
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    Explanations

    words related to utilizing resources or taking advantage of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the use or application of resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etsk
    -0.79
     answ
    -0.73
    mo
    -0.72
    tsy
    -0.68
     Haram
    -0.67
    occup
    -0.66
    âĶĢâĶĢ
    -0.66
    nesty
    -0.65
    bott
    -0.64
    spawn
    -0.63
    POSITIVE LOGITS
     borrowed
    0.93
     strengths
    0.82
     techniques
    0.79
     brute
    0.75
     ingenuity
    0.74
     sparing
    0.73
    illin
    0.72
     expertise
    0.72
     clich
    0.70
     tropes
    0.70
    Activations Density 0.254%

    No Known Activations