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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. 2-RES-JB
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    Explanations

    phrases or words related to the term "Tiger"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Tiger" and related contexts

    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
    earch
    -0.84
    chool
    -0.80
    buquerque
    -0.76
    EGIN
    -0.74
    orate
    -0.71
    onsense
    -0.69
    idential
    -0.69
    cation
    -0.69
    FORMATION
    -0.67
    ationally
    -0.67
    POSITIVE LOGITS
     Tiger
    1.35
     tigers
    0.99
     tiger
    0.96
     Woods
    0.94
     sharks
    0.90
     Tigers
    0.88
     Elephant
    0.87
     Panda
    0.84
     elephants
    0.81
    opard
    0.81
    Activations Density 0.011%

    No Known Activations