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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. 16918
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    Explanations

    years in which companies or organizations were founded

    oai_token-act-pair · gpt-3.5-turbo

    years of founding or establishment of organizations and entities

    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
    rouse
    -0.68
     repeat
    -0.62
     listener
    -0.61
     VIDEOS
    -0.59
     gib
    -0.59
    hide
    -0.59
     pse
    -0.58
    icates
    -0.57
     hypocr
    -0.56
     scen
    -0.56
    POSITIVE LOGITS
     onwards
    0.71
    irection
    0.70
     pledging
    0.66
     promising
    0.66
    \<
    0.65
    iance
    0.64
    berra
    0.64
    bard
    0.64
    imil
    0.63
    sonian
    0.63
    Activations Density 0.155%

    No Known Activations