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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. 12-RES-JB
    11. 2411
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
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    invitations for reader engagement and interaction in the comments section

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    inventoryQuantity
    -0.60
    arov
    -0.56
     metic
    -0.54
     familial
    -0.53
     unden
    -0.53
     reluct
    -0.53
    ©¶æ¥µ
    -0.51
     Canaveral
    -0.50
    irements
    -0.50
    assad
    -0.49
    POSITIVE LOGITS
    !
    1.17
     below
    1.13
     ðŁĻĤ
    1.09
    !.
    1.02
     :)
    0.98
    !!
    0.96
     BELOW
    0.92
    !)
    0.92
    !]
    0.91
     :-)
    0.91
    Activations Density 0.181%

    No Known Activations