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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. 6889
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    Explanations

    expressions involving personal experiences and activities

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "I’ve" in various contexts

    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
     jud
    -0.74
     textbooks
    -0.68
     lapt
    -0.66
     dstg
    -0.64
     surrog
    -0.64
     poppy
    -0.64
     contraceptives
    -0.64
    ological
    -0.63
     flyers
    -0.62
     scoreboard
    -0.62
    POSITIVE LOGITS
    mber
    1.06
    endor
    0.92
    rette
    0.91
    ctors
    0.91
    ices
    0.88
    tsy
    0.87
    llan
    0.87
    gio
    0.87
    lette
    0.86
    ttes
    0.86
    Activations Density 0.030%

    No Known Activations