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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. 2-RES-JB
    11. 8044
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    Explanations

    words related to destruction or devastation

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of specific names and terms related to destruction or negative impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rouch
    -0.83
    uctor
    -0.80
     GOODMAN
    -0.78
    ntil
    -0.71
    akespeare
    -0.71
    uador
    -0.71
    arijuana
    -0.69
    reement
    -0.69
    ratulations
    -0.68
     aristocracy
    -0.67
    POSITIVE LOGITS
     rav
    0.79
    à©
    0.74
    nov
    0.72
    ques
    0.69
    lov
    0.69
    510
    0.68
     Churchill
    0.68
     Siber
    0.68
    vas
    0.67
    vy
    0.66
    Activations Density 0.015%

    No Known Activations