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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. 0-RES-JB
    11. 22410
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    Explanations

    instances of emphasizing or highlighting specific information

    oai_token-act-pair · gpt-3.5-turbo

    words related to emphasis or highlighting key points

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ct
    -0.70
     mug
    -0.69
     lett
    -0.65
    holder
    -0.65
    IER
    -0.65
     brewer
    -0.64
     Ct
    -0.64
     eru
    -0.63
     ash
    -0.63
     Investigative
    -0.61
    POSITIVE LOGITS
    phas
    4.80
    phasis
    1.86
    zinski
    1.11
    phant
    1.10
    pha
    0.99
    AX
    0.98
     DSM
    0.89
    brace
    0.87
    phal
    0.83
    riers
    0.83
    Activations Density 0.034%

    No Known Activations