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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. 3472
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    Explanations

    phrases related to teaching and instructional activities

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    contextually significant nouns and associated actions related to ongoing events or issues

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    No Comments

    Negative Logits
     onwards
    -0.78
     etc
    -0.71
     rather
    -0.69
    ;
    -0.68
     Rhodes
    -0.67
     although
    -0.67
     --
    -0.65
    ,
    -0.65
    ;}
    -0.63
     except
    -0.63
    POSITIVE LOGITS
    ÃĥÃĤ
    1.14
     pione
    1.06
    ò
    1.01
    Þ
    1.01
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    1.00
    À
    0.99
     TheNitrome
    0.99
    ę
    0.99
    âĿ
    0.99
    Ė
    0.99
    Activations Density 1.032%

    No Known Activations