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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
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    Explanations

    instances of the word 'vest' with varying levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "invest" and references to investment

    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
    eworld
    -0.75
    uddin
    -0.71
     unstoppable
    -0.64
     unbeat
    -0.63
     unforeseen
    -0.63
     Anon
    -0.63
     dimensional
    -0.62
     livest
    -0.62
    uador
    -0.60
    CHR
    -0.59
    POSITIVE LOGITS
    vest
    1.21
    sylvania
    0.87
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.87
    eering
    0.86
    ress
    0.83
    iture
    0.78
    rine
    0.74
    helm
    0.73
    itives
    0.73
    ment
    0.72
    Activations Density 0.007%

    No Known Activations