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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 14416
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    INDEX
    Explanations

    phrases referring to specific conditions or situations

    oai_token-act-pair · gpt-3.5-turbo

    references to various conditions in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -1.10
    umbn
    -0.81
    yright
    -0.76
    ilus
    -0.73
    ramid
    -0.70
    enic
    -0.69
    thouse
    -0.68
     Flavoring
    -0.68
    ritz
    -0.67
    arger
    -0.67
    POSITIVE LOGITS
     conditions
    1.11
     Conditions
    0.93
     deterior
    0.88
    pring
    0.85
     worsened
    0.84
     conducive
    0.81
     deteriorated
    0.81
     accommodations
    0.80
     condition
    0.79
     conditioned
    0.79
    Activations Density 0.020%

    No Known Activations