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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. 4-RES-JB
    11. 16275
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    Explanations

    specific structures such as tables, graphs, and images within text

    oai_token-act-pair · gpt-3.5-turbo

    the word "in" and its frequency within the context

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

    No Comments

    Negative Logits
     ens
    -0.68
     taught
    -0.66
     contag
    -0.65
     inval
    -0.63
    acer
    -0.61
    llor
    -0.61
     showc
    -0.59
    soever
    -0.59
     recons
    -0.59
     %%
    -0.59
    POSITIVE LOGITS
    ordinate
    1.21
     conjunction
    1.15
    organic
    1.13
    humane
    1.13
     accordance
    1.12
    clusions
    1.09
     lieu
    1.08
    animate
    1.05
     order
    1.03
    clus
    0.99
    Activations Density 0.310%

    No Known Activations