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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. 1-RES-JB
    11. 24190
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    Explanations

    words related to gradual progression or improvement

    oai_token-act-pair · gpt-3.5-turbo

    words indicating consistency or continuous action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.84
    onym
    -0.72
     Universities
    -0.71
    plan
    -0.71
    fecture
    -0.71
    onom
    -0.68
    latable
    -0.68
    anas
    -0.67
     Parables
    -0.67
    opathic
    -0.67
    POSITIVE LOGITS
     steadily
    1.02
     steady
    0.91
    enza
    0.84
    stead
    0.81
     conclud
    0.78
     strugg
    0.77
    uously
    0.76
     unden
    0.75
    wagon
    0.74
     tremend
    0.74
    Activations Density 0.007%

    No Known Activations