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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. 23421
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    Explanations

    comparative terms related to quantity or degree

    oai_token-act-pair · gpt-3.5-turbo

    quantitative comparisons and multipliers

    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
    liction
    -0.84
    Reviewer
    -0.83
    ists
    -0.80
    aceous
    -0.74
    arty
    -0.74
    RAW
    -0.71
    CHAT
    -0.67
    ja
    -0.65
    OST
    -0.65
    Offline
    -0.65
    POSITIVE LOGITS
    avier
    0.85
     cheaper
    0.82
     slower
    0.77
    cale
    0.76
     faster
    0.74
     consecut
    0.73
     pric
    0.72
     magnification
    0.68
    bill
    0.68
     cumulative
    0.66
    Activations Density 0.036%

    No Known Activations