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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
    11. 13998
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    Explanations

    the word "Sand" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Sand," indicating a focus on a specific name or term throughout the document

    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
    uates
    -0.88
    urses
    -0.84
     sidx
    -0.84
     restraining
    -0.74
    igslist
    -0.74
    mercial
    -0.73
    orescent
    -0.73
    olulu
    -0.73
     sight
    -0.73
     vain
    -0.72
    POSITIVE LOGITS
     Sand
    1.04
    bats
    0.94
    Sand
    0.94
    paper
    0.89
    wic
    0.88
    lings
    0.86
    box
    0.83
    storms
    0.82
    mallow
    0.80
    alph
    0.79
    Activations Density 0.005%

    No Known Activations