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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. 11-RES-JB
    11. 13362
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    INDEX
    Explanations

    phrases related to achieving goals or objectives

    oai_token-act-pair · gpt-3.5-turbo

    references to "stretch goals" or similar concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eer
    -0.78
    ienced
    -0.78
    eers
    -0.77
    nect
    -0.74
    eering
    -0.73
    vernment
    -0.70
    ité
    -0.70
    gently
    -0.69
    lain
    -0.67
     Guardians
    -0.66
    POSITIVE LOGITS
    opian
    0.90
     Goals
    0.79
     lim
    0.76
     stretched
    0.75
     guiActiveUnfocused
    0.75
     cred
    0.74
    bean
    0.73
    ippi
    0.70
    overs
    0.69
     goals
    0.69
    Activations Density 0.076%

    No Known Activations