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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. 7-RES-JB
    11. 7307
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    Explanations

    instances of receiving or providing advice

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bang
    -0.70
     Craw
    -0.65
    itol
    -0.65
    ppa
    -0.64
    ches
    -0.63
     Mellon
    -0.62
    CEPT
    -0.62
    dimension
    -0.62
    buck
    -0.61
    BP
    -0.60
    POSITIVE LOGITS
     Advice
    1.10
     advice
    1.09
     advising
    1.09
     advised
    0.96
     advise
    0.94
     advises
    0.83
     paralysis
    0.79
     caution
    0.77
     recommending
    0.75
     counselor
    0.73
    Activations Density 0.039%

    No Known Activations