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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
    11. 6085
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    Explanations

    the ends of sentences

    oai_token-act-pair · gpt-3.5-turbo

    sentences or statements indicating significant events or conclusions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
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    No Comments

    Negative Logits
     challeng
    -0.70
     slightest
    -0.65
    ensibly
    -0.64
     patriot
    -0.64
    idon
    -0.64
     victories
    -0.64
     delinquent
    -0.63
     sleeper
    -0.62
     suppressed
    -0.62
     nuts
    -0.62
    POSITIVE LOGITS
     ``(
    1.03
     ``
    0.99
    ``
    0.99
     "...
    0.91
     -->
    0.91
     ''
    0.87
     �
    0.84
     "(
    0.84
     Unloaded
    0.84
    lua
    0.83
    Activations Density 0.183%

    No Known Activations