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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. 21591
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    Explanations

    phrases related to challenges or significant events

    oai_token-act-pair · gpt-3.5-turbo

    phrases that convey contrast or transition in thought

    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
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    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -1.00
    è£ħ
    -0.79
    vre
    -0.70
    ãģ®å
    -0.69
    ãĥ¯
    -0.66
    éŃĶ
    -0.65
    ãĤ¨ãĥ«
    -0.64
    ãĥ©ãĥ³
    -0.63
    uyomi
    -0.63
    çīĪ
    -0.62
    POSITIVE LOGITS
     yeah
    1.31
     whereas
    1.11
     because
    1.07
     blah
    1.07
     but
    1.03
     obviously
    1.02
     uh
    0.99
     somebody
    0.97
     okay
    0.97
     OK
    0.96
    Activations Density 0.315%

    No Known Activations