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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. 9-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.85
     Darling
    -0.70
    eret
    -0.70
    soType
    -0.65
     persisted
    -0.63
     misunderstanding
    -0.62
     recent
    -0.62
     lately
    -0.62
    acted
    -0.62
     persists
    -0.61
    POSITIVE LOGITS
     surpass
    0.89
     realize
    0.86
     unveil
    0.81
     realise
    0.80
     be
    0.80
     retire
    0.80
     replace
    0.79
    apest
    0.76
     converge
    0.74
     finally
    0.73
    Activations Density 0.216%

    No Known Activations