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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. 3-RES-JB
    11. 20132
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    Explanations

    words related to understanding, comprehending, or capturing concepts

    oai_token-act-pair · gpt-3.5-turbo

    words related to understanding or comprehension

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.65
    senal
    -0.64
    study
    -0.63
     includ
    -0.61
    girlfriend
    -0.60
     premier
    -0.60
    adiator
    -0.59
    etheus
    -0.59
    industrial
    -0.58
    cé
    -0.58
    POSITIVE LOGITS
     grasp
    1.05
    ibility
    0.91
    ingly
    0.86
    ably
    0.84
    ibilities
    0.82
     isEnabled
    0.82
     grasping
    0.81
    ĸļ
    0.80
    fully
    0.80
    ivated
    0.80
    Activations Density 0.006%

    No Known Activations