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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. 7-RES-JB
    11. 7214
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    Explanations

    words or sequences enclosed in quotation marks

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Klu
    -0.74
     offended
    -0.74
     chair
    -0.73
     hosting
    -0.71
     dignity
    -0.70
     enrol
    -0.70
     saddle
    -0.69
     succession
    -0.69
     fossil
    -0.69
     predomin
    -0.69
    POSITIVE LOGITS
    Hey
    1.13
    BuyableInstoreAndOnline
    1.05
    Hello
    1.03
    Round
    1.00
    False
    1.00
    Course
    0.98
    WHERE
    0.96
    cheat
    0.96
    tis
    0.95
    Hi
    0.95
    Activations Density 0.131%

    No Known Activations