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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. 14184
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    Explanations

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    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
    Negative Logits
     incumb
    -0.70
     Sorceress
    -0.67
    Published
    -0.65
    channelAvailability
    -0.63
     Confeder
    -0.61
     workload
    -0.61
     %%
    -0.61
     programmers
    -0.60
     unemploy
    -0.58
    soever
    -0.58
    POSITIVE LOGITS
     lieu
    1.30
     vain
    1.16
     order
    1.13
    clusively
    1.12
     accordance
    1.12
    clus
    1.11
     spite
    1.08
    animate
    1.08
    appropriate
    1.07
     regards
    1.03
    Activations Density 0.456%

    No Known Activations