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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. 2-RES-JB
    11. 14370
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    Explanations

    references to specific locations or events, especially with dates

    oai_token-act-pair · gpt-3.5-turbo

    events related to specific locations, particularly events at universities or community gatherings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fulfil
    -0.71
     flavour
    -0.64
     hindsight
    -0.63
     realised
    -0.59
    isable
    -0.59
    icked
    -0.58
     repetition
    -0.56
    Firstly
    -0.56
    abis
    -0.56
    oaded
    -0.56
    POSITIVE LOGITS
     Southwest
    0.71
    taboola
    0.66
     Tulsa
    0.66
     Northeast
    0.66
     NAACP
    0.64
     northeast
    0.62
     Mesa
    0.61
     northwest
    0.61
     Wichita
    0.61
     Lafayette
    0.60
    Activations Density 5.338%

    No Known Activations