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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. 13978
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    Explanations

    words related to problems, obstacles, or issues

    oai_token-act-pair · gpt-3.5-turbo

    terms related to obstacles or complex issues

    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
    ufact
    -0.88
    ession
    -0.84
    amily
    -0.82
    estinal
    -0.80
    aternity
    -0.80
    iasco
    -0.79
    rators
    -0.78
    onial
    -0.77
    rals
    -0.77
    atern
    -0.73
    POSITIVE LOGITS
     thorn
    1.31
    vine
    0.82
     prick
    0.81
     sticks
    0.76
     spikes
    0.72
     tips
    0.72
     spears
    0.72
     carrot
    0.72
     vines
    0.70
     stump
    0.69
    Activations Density 0.011%

    No Known Activations