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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. 1-RES-JB
    11. 20629
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    Explanations

    terms related to physical forces like friction and lubrication

    oai_token-act-pair · gpt-3.5-turbo

    terms related to friction and difficulties in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mond
    -0.75
    ental
    -0.73
    ership
    -0.70
    umbn
    -0.70
    annis
    -0.69
    igm
    -0.68
    elf
    -0.66
    eming
    -0.66
    iolet
    -0.65
    utra
    -0.64
    POSITIVE LOGITS
     friction
    1.47
     tension
    0.82
     destro
    0.82
     recoil
    0.80
    channelAvailability
    0.77
    staking
    0.76
     capacitor
    0.74
     occas
    0.72
     vibration
    0.71
     coefficient
    0.71
    Activations Density 0.008%

    No Known Activations