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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. 6-RES-JB
    11. 624
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    INDEX
    Explanations

    mention of geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    references to Bavarian culture or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mileage
    -0.73
    dress
    -0.73
    bnb
    -0.70
    BOOK
    -0.69
     descending
    -0.68
    ©¶æ
    -0.63
    FTWARE
    -0.63
     Editing
    -0.61
     TABLE
    -0.61
     fishes
    -0.60
    POSITIVE LOGITS
    arians
    1.10
    etts
    1.00
    arian
    0.97
    aceae
    0.96
    ards
    0.96
    ça
    0.95
    ific
    0.94
    anca
    0.93
    atche
    0.93
    ari
    0.92
    Activations Density 0.047%

    No Known Activations