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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. 1-RES-JB
    6. 11007
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    INDEX
    Explanations

    mentions of the word "acid"

    oai_token-act-pair · gpt-3.5-turbo

    references to acidity and related chemical concepts

    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
    ILLE
    -0.84
    HCR
    -0.83
    ALE
    -0.78
    OTA
    -0.78
    MQ
    -0.77
     Patri
    -0.75
    EEK
    -0.74
    MENTS
    -0.73
    HI
    -0.72
    LO
    -0.70
    POSITIVE LOGITS
     acid
    1.39
     Acid
    1.10
     acids
    1.00
    acid
    0.94
    ashtra
    0.84
    uria
    0.84
     chemist
    0.79
     acidic
    0.78
     chemistry
    0.75
    amines
    0.74
    Activations Density 0.008%

    No Known Activations