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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. 10-RES-JB
    11. 1036
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    Explanations

    phrases related to doing tasks or actions one at a time

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "at a time"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ti
    -0.65
    NOT
    -0.61
    ubi
    -0.60
    odox
    -0.60
    xious
    -0.59
     actionGroup
    -0.58
    lu
    -0.58
    ahime
    -0.58
    tery
    -0.57
    DOS
    -0.57
    POSITIVE LOGITS
    rium
    0.74
     apiece
    0.74
     once
    0.71
     stocking
    0.67
     rall
    0.60
    once
    0.60
     time
    0.60
     intervals
    0.59
     mosqu
    0.59
     each
    0.58
    Activations Density 0.066%

    No Known Activations