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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. 9-RES-JB
    11. 19620
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    Explanations

    words related to problems or challenges

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to challenges and solutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    respect
    -0.71
    iqueness
    -0.64
    cffff
    -0.63
    aughter
    -0.62
    ãĥĪ
    -0.61
    unders
    -0.61
    severe
    -0.60
    could
    -0.60
    ventions
    -0.59
    Such
    -0.59
    POSITIVE LOGITS
    iest
    1.13
    liest
    1.11
    hest
    0.82
    erest
    0.81
    ultimate
    0.72
    iman
    0.71
    apest
    0.69
     powering
    0.67
     behind
    0.67
     Catalyst
    0.67
    Activations Density 0.256%

    No Known Activations