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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. 5264
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    Explanations

    the adjective "crazy" with various intensities

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "crazy."

    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
    agle
    -0.84
    arest
    -0.81
    Reviewed
    -0.80
    arers
    -0.76
    ãĥĺãĥ©
    -0.71
    adr
    -0.70
     Inspection
    -0.67
    iya
    -0.66
    apers
    -0.65
     distingu
    -0.65
    POSITIVE LOGITS
     stunts
    0.86
     antics
    0.80
     crazy
    0.79
    crazy
    0.76
     amounts
    0.73
     volt
    0.73
     shit
    0.71
    spawn
    0.71
     coincidence
    0.71
    cat
    0.70
    Activations Density 0.050%

    No Known Activations