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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. 10-RES-JB
    11. 5487
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    Explanations

    simple, effortless, or smooth solutions or tasks

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "easy" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raints
    -0.75
    eters
    -0.74
    rongh
    -0.71
    hips
    -0.70
    grave
    -0.64
    ority
    -0.63
    seless
    -0.61
    aples
    -0.61
     prematurely
    -0.60
    iosyncr
    -0.60
    POSITIVE LOGITS
    Jet
    1.18
    going
    1.04
     prey
    0.77
    jet
    0.76
     enough
    0.76
    idious
    0.75
    wallet
    0.75
    draw
    0.69
    step
    0.67
    coded
    0.66
    Activations Density 0.045%

    No Known Activations