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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. 5061
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    Explanations

    phrases related to introducing or bringing in something or someone

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrases "bring in" and "out," indicating a focus on the concepts of inclusion and exclusion

    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
    ité
    -0.72
    staking
    -0.71
    STER
    -0.71
    iom
    -0.67
    MQ
    -0.66
    ���
    -0.66
    externalActionCode
    -0.65
    ita
    -0.64
    cture
    -0.64
    toggle
    -0.62
    POSITIVE LOGITS
     scraps
    0.86
     some
    0.83
     distractions
    0.83
     tons
    0.79
     chunks
    0.76
     pieces
    0.75
     unwanted
    0.74
     hordes
    0.74
     whatever
    0.74
     reinforcements
    0.73
    Activations Density 0.205%

    No Known Activations