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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. 4-RES-JB
    11. 16373
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    Explanations

    phrases indicating statements or claims being made by various individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    the word "there" in various contexts

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

    No Comments

    Negative Logits
     CJ
    -0.71
     Charleston
    -0.62
     diarrhea
    -0.62
     franc
    -0.59
     Maw
    -0.59
     ±
    -0.59
     Magicka
    -0.59
     pound
    -0.58
     Kobe
    -0.58
    tip
    -0.58
    POSITIVE LOGITS
    abouts
    1.29
    upon
    1.01
    olkien
    0.80
    oplan
    0.80
    fore
    0.79
    tics
    0.75
     fortun
    0.72
    onian
    0.72
    hovah
    0.70
    otom
    0.70
    Activations Density 0.118%

    No Known Activations