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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. 2-RES-JB
    6. 12217
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    Explanations

    words related to animals, particularly elephants and dogs

    oai_token-act-pair · gpt-3.5-turbo

    terms related to wildlife, specifically elephants and dogs

    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
    âĸ¬
    -0.79
    Leader
    -0.78
    yss
    -0.70
    549
    -0.70
     Territories
    -0.69
    TI
    -0.69
    Asset
    -0.65
    ALLY
    -0.65
    Student
    -0.64
    States
    -0.64
    POSITIVE LOGITS
    paces
    1.16
    hip
    1.10
    aurus
    1.09
    mith
    1.08
    cale
    1.04
    ongs
    1.00
    uggest
    1.00
    hips
    0.98
    ervatives
    0.97
    pots
    0.97
    Activations Density 0.076%

    No Known Activations