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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. 11-RES-JB
    11. 934
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    Explanations

    names or titles followed by a period

    oai_token-act-pair · gpt-3.5-turbo

    the presence of notable names or entities, particularly in a context relating to decision-making or influences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ollah
    -0.86
    eal
    -0.82
    oyle
    -0.77
    bernatorial
    -0.75
    flower
    -0.71
    Gray
    -0.70
    gerald
    -0.70
     [&
    -0.69
     Ballard
    -0.69
    Fl
    -0.69
    POSITIVE LOGITS
     Es
    1.46
     CS
    1.34
     Pas
    1.29
     Bos
    1.22
     ES
    1.21
     Kas
    1.19
     Sas
    1.15
     Mos
    1.13
     Jas
    1.12
     SAS
    1.10
    Activations Density 0.336%

    No Known Activations