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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. 13439
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    Explanations

    words related to actions or commands

    oai_token-act-pair · gpt-3.5-turbo

    instances of imperative verbs and actions

    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
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    No Comments

    Negative Logits
    printf
    -0.76
    potion
    -0.69
     [*
    -0.65
    ranch
    -0.64
    Created
    -0.61
    omer
    -0.61
    cross
    -0.61
    andowski
    -0.60
    pit
    -0.60
    static
    -0.60
    POSITIVE LOGITS
     yourselves
    1.18
     Yourself
    1.11
     yourself
    1.07
     wisely
    0.70
     CARE
    0.69
     Skies
    0.68
    !:
    0.66
     Geek
    0.66
     Intake
    0.65
     your
    0.64
    Activations Density 0.354%

    No Known Activations