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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. 10-RES-JB
    11. 8477
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    information related to personal experiences and reflections

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Therefore
    -0.62
    )",
    -0.61
     Whilst
    -0.60
     utilizing
    -0.59
     However
    -0.58
     competition
    -0.58
    Therefore
    -0.58
     indigenous
    -0.57
     Jiu
    -0.57
     unlawful
    -0.56
    POSITIVE LOGITS
    *:
    0.90
    *,
    0.90
    —"
    0.84
    pmwiki
    0.81
     goddamn
    0.79
    âĢł
    0.76
    —
    0.75
    .—
    0.74
     assorted
    0.74
    Anyway
    0.74
    Activations Density 1.124%

    No Known Activations