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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. 6-RES-JB
    11. 18808
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    Explanations

    terms related to spatial orientation and positioning

    oai_token-act-pair · gpt-3.5-turbo

    terms related to spatial orientation and axes in a coordinate system

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.84
    ispers
    -0.79
    esters
    -0.78
     Soup
    -0.77
    pkg
    -0.76
    ccoli
    -0.74
    unker
    -0.74
    stros
    -0.73
     Sauce
    -0.73
    nos
    -0.72
    POSITIVE LOGITS
     coordinates
    1.16
     axis
    1.11
     perpendicular
    1.03
     latitude
    1.01
     wob
    0.98
     orientation
    0.96
     aligned
    0.94
     velocity
    0.93
     orbits
    0.90
     alignment
    0.90
    Activations Density 0.183%

    No Known Activations