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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. 23387
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    Explanations

    words related to competitions or challenges

    oai_token-act-pair · gpt-3.5-turbo

    references to competitions or contests

    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
    ths
    -0.78
    thood
    -0.72
    many
    -0.69
     Leaf
    -0.67
    Else
    -0.67
    minent
    -0.66
     Archangel
    -0.66
    âĹ¼
    -0.64
     Marketable
    -0.63
    OTOS
    -0.62
    POSITIVE LOGITS
    eering
    1.04
    eers
    1.00
     contest
    0.95
    arium
    0.86
     contests
    0.84
     winner
    0.81
    ing
    0.75
     winners
    0.74
    ants
    0.72
    ors
    0.72
    Activations Density 0.014%

    No Known Activations