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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. 21749
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    INDEX
    Explanations

    verbs that imply seeking or striving for a goal

    oai_token-act-pair · gpt-3.5-turbo

    infinitive verbs indicating intention or purpose

    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
    faces
    -0.70
     Notting
    -0.68
     Chili
    -0.67
     Dro
    -0.65
     Gren
    -0.65
     Chim
    -0.65
     Checks
    -0.64
     Tup
    -0.64
     Maur
    -0.64
     Rapids
    -0.63
    POSITIVE LOGITS
     emulate
    1.24
     minimize
    1.15
     revive
    1.15
     recreate
    1.09
     eliminate
    1.07
     broaden
    1.06
     stimulate
    1.04
     imitate
    1.03
     simplify
    1.02
     improve
    1.01
    Activations Density 0.101%

    No Known Activations