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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. 4-RES-JB
    11. 11318
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    Explanations

    phrases related to increasing or intensifying actions

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to increasing intensity or escalation of actions

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

    No Comments

    Negative Logits
    LEY
    -0.71
     Declaration
    -0.66
    iw
    -0.65
     SQU
    -0.64
    pie
    -0.64
     Cay
    -0.62
     Savior
    -0.62
    cu
    -0.62
     Statement
    -0.61
    >[
    -0.61
    POSITIVE LOGITS
    grading
    0.96
     exponentially
    0.85
    uberty
    0.84
    stairs
    0.84
    gradation
    0.82
    graded
    0.80
    acebook
    0.80
    olicy
    0.80
    hovah
    0.77
    grades
    0.77
    Activations Density 0.037%

    No Known Activations