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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. 5102
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    Explanations

    keywords related to axes or directions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to axes in a scientific or mathematical context

    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
    esters
    -0.96
    namese
    -0.79
    atten
    -0.78
    rov
    -0.74
    odor
    -0.71
    acco
    -0.71
    ORE
    -0.70
    osponsors
    -0.69
    aque
    -0.69
    acity
    -0.69
    POSITIVE LOGITS
     axis
    1.07
     mund
    1.03
     axes
    0.92
    axis
    0.92
    illary
    0.84
     crank
    0.81
     stabil
    0.80
     slic
    0.75
     jerk
    0.74
    ansas
    0.73
    Activations Density 0.017%

    No Known Activations