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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. 3-RES-JB
    11. 24439
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    Explanations

    references to stone or stony materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    instances of the word "stone" in various contexts

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    unct
    -0.85
    ersive
    -0.81
    oresc
    -0.80
    ornia
    -0.80
    inen
    -0.79
    merce
    -0.76
    akening
    -0.74
    acy
    -0.72
    acca
    -0.71
    ntil
    -0.69
    POSITIVE LOGITS
     stone
    1.12
     stones
    1.06
    fish
    1.03
    works
    0.98
    bats
    0.96
    Stone
    0.93
    stone
    0.90
    hill
    0.89
     sculptures
    0.89
    stones
    0.88
    Activations Density 0.008%

    No Known Activations