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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. 14625
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    Explanations

    phrases indicating preference for something to happen in the short term

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating urgency or the need for prompt action

    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
    rug
    -0.81
    SA
    -0.73
    square
    -0.73
    Ward
    -0.72
    EVA
    -0.72
    pel
    -0.70
     Shows
    -0.69
    PU
    -0.69
    FLAG
    -0.69
    DC
    -0.69
    POSITIVE LOGITS
     sooner
    0.96
     confir
    0.89
     than
    0.85
     perspect
    0.85
    aneously
    0.84
     unden
    0.82
     nodd
    0.81
     mosqu
    0.80
     "$:/
    0.79
     puberty
    0.77
    Activations Density 0.005%

    No Known Activations