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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. 3128
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    Explanations

    phrases indicating the concept of doing things sequentially or systematically

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of time, particularly in the context of performing actions sequentially

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ubi
    -0.62
    FTWARE
    -0.58
     preced
    -0.58
    bender
    -0.58
    xual
    -0.55
    advertisement
    -0.55
    olini
    -0.54
    asma
    -0.54
    berto
    -0.53
    ahime
    -0.52
    POSITIVE LOGITS
    rium
    0.78
     apiece
    0.71
    ikh
    0.61
    las
    0.60
    oe
    0.60
    mid
    0.59
     ease
    0.59
    kat
    0.58
     Notting
    0.58
     risk
    0.58
    Activations Density 0.108%

    No Known Activations