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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. 7-RES-JB
    11. 7480
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    Explanations

    the word "let" followed by a number, likely indicating instructions or suggestions

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "let's" and variations of it, indicating suggestions or prompts to the reader

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    natureconservancy
    -0.66
    existent
    -0.63
     holiest
    -0.61
    PLIED
    -0.59
     Soldier
    -0.58
    atana
    -0.56
     voiced
    -0.56
     vending
    -0.55
     worshipped
    -0.55
    born
    -0.54
    POSITIVE LOGITS
    itia
    0.99
    tered
    0.89
    tering
    0.87
    ting
    0.86
    icia
    0.84
     us
    0.75
    hetically
    0.74
    arations
    0.72
    terness
    0.69
    prise
    0.68
    Activations Density 0.025%

    No Known Activations