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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. 12557
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    Explanations

    content related to experience points (XP), levels, and gaining points in a game or activity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to experience points and game mechanics

    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
     Nicarag
    -0.76
     Franch
    -0.69
    eatures
    -0.68
    unci
    -0.66
    OSP
    -0.66
    igmat
    -0.65
     Mock
    -0.64
    Bey
    -0.62
    artist
    -0.62
     Dominican
    -0.62
    POSITIVE LOGITS
     expended
    1.29
     Gained
    1.07
     depletion
    1.05
     allocated
    1.02
     accumulation
    0.98
     allotted
    0.97
     accumulated
    0.95
     allocations
    0.94
     expenditure
    0.93
     invested
    0.93
    Activations Density 0.405%

    No Known Activations