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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. 13805
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    Explanations

    mention of hotels or specific locations

    oai_token-act-pair · gpt-3.5-turbo

    reference to specific locations and values, particularly those related to high numbers or significant entities

    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
     Maxim
    -1.01
     Sina
    -0.86
     Makoto
    -0.85
    iman
    -0.83
     Santana
    -0.81
     Miranda
    -0.77
    pak
    -0.77
     Fant
    -0.77
     Shots
    -0.75
     Panther
    -0.75
    POSITIVE LOGITS
    ^{
    1.06
    catentry
    0.89
    AE
    0.89
    ^
    0.88
    CO
    0.88
    Whe
    0.88
    roe
    0.86
    oÄŁ
    0.85
    hol
    0.85
    1016
    0.84
    Activations Density 0.451%

    No Known Activations