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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. 15288
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    Explanations

    words related to spatial dimensions

    oai_token-act-pair · gpt-3.5-turbo

    references to dimensions and their variations

    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
    ublic
    -0.71
    ony
    -0.71
    yright
    -0.70
    sis
    -0.70
    ardy
    -0.70
    aque
    -0.69
    opal
    -0.68
    cific
    -0.68
    roph
    -0.66
    ãģį
    -0.66
    POSITIVE LOGITS
     dimensions
    0.97
     dimension
    0.96
    dimension
    0.95
     Dimensions
    0.85
    imensional
    0.80
    ality
    0.80
     Dimension
    0.80
     restraints
    0.75
    Factor
    0.75
     dimensional
    0.73
    Activations Density 0.009%

    No Known Activations