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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. 1-RES-JB
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    Explanations

    names of locations or entities related to a place called "Wrexham."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ham" in conjunction with various contexts or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Appropri
    -0.76
    EMENT
    -0.66
     Nations
    -0.65
    ãĥ´
    -0.65
     Replay
    -0.64
     segments
    -0.63
     Billboard
    -0.63
     national
    -0.62
     segment
    -0.61
    atives
    -0.60
    POSITIVE LOGITS
    ilton
    1.29
    pton
    1.27
    wich
    1.08
    monds
    1.02
    ham
    1.01
    mond
    0.99
    hurst
    0.98
    ming
    0.96
    mers
    0.95
    ston
    0.94
    Activations Density 0.010%

    No Known Activations