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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. 9141
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    Explanations

    phrases related to various uses of the word "akes" and its variations like "bakes" or "faking"

    oai_token-act-pair · gpt-3.5-turbo

    words related to deception or falseness

    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
     torn
    -0.71
     Panthers
    -0.59
     DRAG
    -0.59
     thor
    -0.58
     Vanguard
    -0.58
     poorest
    -0.57
     SB
    -0.56
     paraph
    -0.55
     unp
    -0.55
     Astro
    -0.55
    POSITIVE LOGITS
    akes
    1.27
    ake
    0.97
    Maker
    0.90
    olate
    0.84
    abba
    0.82
    ESE
    0.79
    umar
    0.79
    ernel
    0.77
    hi
    0.77
    ay
    0.77
    Activations Density 0.009%

    No Known Activations