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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7200
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    Explanations

    mentions of the word "Valentine" at various intensities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Valentine's Day and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulhu
    -0.99
    alach
    -0.91
    lopp
    -0.86
    ologies
    -0.79
    atche
    -0.75
    rote
    -0.72
    wered
    -0.72
    artment
    -0.72
    ologically
    -0.71
    raltar
    -0.70
    POSITIVE LOGITS
     Valentine
    0.93
     Staples
    0.84
     Valent
    0.72
     Claus
    0.69
     Jarrett
    0.67
     Vigil
    0.63
     Payne
    0.62
     Weekend
    0.62
    stice
    0.62
     Sprite
    0.62
    Activations Density 0.011%

    No Known Activations