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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. 23736
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    aan
    -0.80
    ework
    -0.76
    STRUCT
    -0.70
    KING
    -0.69
    ergy
    -0.69
    wolves
    -0.68
    åī
    -0.67
    BuyableInstoreAndOnline
    -0.66
    ãĥĺ
    -0.64
    strap
    -0.62
    POSITIVE LOGITS
     interests
    0.99
     territ
    0.83
     Groups
    0.81
    reprene
    0.76
    igent
    0.75
    afe
    0.75
     benefic
    0.74
     maxim
    0.73
    yip
    0.72
    ĺħ
    0.70
    Activations Density 0.051%

    No Known Activations