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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. 775
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    Explanations

    references to individuals present in a community or event

    oai_token-act-pair · gpt-3.5-turbo

    references to bystanders and spectators in various contexts

    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
    amas
    -0.79
    mberg
    -0.67
    esta
    -0.64
    kamp
    -0.64
    ucks
    -0.62
    icient
    -0.61
    ends
    -0.61
     understatement
    -0.61
     perm
    -0.60
    osis
    -0.60
    POSITIVE LOGITS
     bystand
    1.55
     bystanders
    1.32
     onlook
    1.06
     spectators
    1.00
     spectator
    0.94
    rities
    0.85
    ĸļ
    0.74
    DragonMagazine
    0.72
    PsyNetMessage
    0.71
     wat
    0.71
    Activations Density 0.007%

    No Known Activations