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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    occurrences of the word "Dur" in various contexts

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

    occurrences of the word "Dur."

    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
    NetMessage
    -0.99
    ħĭ
    -0.86
    insula
    -0.73
    76561
    -0.68
     Simulator
    -0.68
    pard
    -0.68
     Panic
    -0.67
    ocene
    -0.67
    pocket
    -0.65
    pherd
    -0.64
    POSITIVE LOGITS
     Dur
    1.01
    abl
    0.92
    Dur
    0.91
    ably
    0.87
    rell
    0.85
    locks
    0.83
    anty
    0.82
    ability
    0.81
    abil
    0.81
    nit
    0.78
    Activations Density 0.014%

    No Known Activations