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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. 6-RES-JB
    11. 22014
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    Explanations

    mentions where something is or where an action takes place

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate temporal references or sequences of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     extrad
    -0.72
     subsidized
    -0.68
     hypoc
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    oteric
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     leftover
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    ometimes
    -0.65
    EStream
    -0.65
    ¥µ
    -0.64
    avorite
    -0.63
    obar
    -0.63
    POSITIVE LOGITS
    Changes
    0.83
    Cho
    0.78
    >>>
    0.75
    Gen
    0.75
    Poll
    0.74
    Prof
    0.73
    Sport
    0.73
    Priv
    0.73
    Redd
    0.73
    Names
    0.72
    Activations Density 0.126%

    No Known Activations