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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. 4-RES-JB
    11. 16832
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    Explanations

    words or phrases related to causing excitement or intensity, possibly with a negative connotation

    oai_token-act-pair · gpt-3.5-turbo

    words related to deceit or trickery

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.88
     EntityItem
    -0.84
     Norn
    -0.75
    éĹĺ
    -0.72
     Sons
    -0.69
     Declaration
    -0.69
     Fargo
    -0.67
    IELD
    -0.65
    uyomi
    -0.65
    DragonMagazine
    -0.65
    POSITIVE LOGITS
    ving
    1.02
    aches
    1.01
    roach
    0.94
    cks
    0.94
    dy
    0.93
    vers
    0.92
    crow
    0.91
    pez
    0.90
    ach
    0.90
    oops
    0.90
    Activations Density 0.007%

    No Known Activations