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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. 8-RES-JB
    11. 10054
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    Explanations

    words related to rehabilitation or medical treatments for recovery

    oai_token-act-pair · gpt-3.5-turbo

    references to rehabilitation processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wilde
    -0.66
     Noir
    -0.66
     Flan
    -0.63
    DN
    -0.62
     fry
    -0.59
    -+-+-+-+
    -0.57
     asymm
    -0.56
     abund
    -0.56
     unexpected
    -0.56
     ABV
    -0.56
    POSITIVE LOGITS
    ilitation
    2.00
    ilitating
    1.80
    ilit
    1.33
    bing
    1.22
    apist
    1.06
    spective
    1.05
    iliation
    1.02
     Rehab
    0.96
    ded
    0.95
    ctor
    0.92
    Activations Density 0.040%

    No Known Activations