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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. 5226
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    INDEX
    Explanations

    phrases related to a specific entertainment franchise

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Dragon" franchise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    EMS
    -0.76
    akeru
    -0.75
    ablishment
    -0.75
    rontal
    -0.71
    algia
    -0.70
    ALS
    -0.70
     Morse
    -0.69
    zsche
    -0.69
     Edison
    -0.69
    orsche
    -0.68
    POSITIVE LOGITS
    fly
    1.20
    flies
    0.97
    Dragon
    0.93
    Fly
    0.93
    bone
    0.89
    hawk
    0.85
    zilla
    0.82
    claw
    0.80
    flight
    0.79
    fruit
    0.78
    Activations Density 0.009%

    No Known Activations