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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. 11299
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    Explanations

    specific coding terms or commands

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various entities and characters in a narrative context

    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
     Brad
    -0.78
     Sop
    -0.75
     sys
    -0.74
     Yo
    -0.74
     streng
    -0.74
     Bry
    -0.72
     BI
    -0.71
     Ry
    -0.69
     Brut
    -0.69
     neo
    -0.69
    POSITIVE LOGITS
    iser
    1.17
    aker
    1.13
    isher
    1.06
    uler
    1.03
    imer
    1.03
    eker
    1.03
    uman
    1.00
    ifter
    0.99
    acker
    0.99
    ighter
    0.98
    Activations Density 0.171%

    No Known Activations