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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. 10-RES-JB
    11. 6426
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    Explanations

    words related to the strength, impact, and significance of various issues

    oai_token-act-pair · gpt-3.5-turbo

    words conveying strong impacts or significance in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hander
    -0.79
    ©¶æ
    -0.77
    ften
    -0.76
    ologue
    -0.74
    athetic
    -0.73
    ressor
    -0.72
    ulhu
    -0.72
    udeb
    -0.71
    orah
    -0.71
    OVA
    -0.70
    POSITIVE LOGITS
     amounts
    1.43
     quantities
    1.24
     proportions
    1.18
     levels
    1.16
     insights
    1.08
     highs
    1.07
     results
    1.07
     parallels
    1.06
     lows
    1.06
     implications
    1.06
    Activations Density 0.246%

    No Known Activations