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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. 3-RES-JB
    11. 13154
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    Explanations

    dates in the format month, day, year

    oai_token-act-pair · gpt-3.5-turbo

    the presence and variety of punctuation marks, particularly commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    natureconservancy
    -0.73
     detectors
    -0.68
    DERR
    -0.68
     kernels
    -0.67
     overd
    -0.64
     fantasies
    -0.64
    interstitial
    -0.63
    uggest
    -0.63
     tremend
    -0.61
     behavi
    -0.60
    POSITIVE LOGITS
     huh
    0.98
     etc
    0.93
    032
    0.82
     eh
    0.79
     however
    0.78
     supra
    0.77
     LLC
    0.76
     Inc
    0.74
    075
    0.73
     meanwhile
    0.73
    Activations Density 0.952%

    No Known Activations