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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. 1-RES-JB
    11. 6544
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    INDEX
    Explanations

    words related to concepts of volume, capacity, or quantity

    oai_token-act-pair · gpt-3.5-turbo

    references to volume or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Shining
    -0.72
     Dream
    -0.71
     Eagle
    -0.70
     Pearce
    -0.69
    phant
    -0.69
     Heritage
    -0.67
     Registered
    -0.65
     Industrial
    -0.65
     Cere
    -0.64
     Rite
    -0.64
    POSITIVE LOGITS
     vol
    1.20
     awa
    0.97
    leys
    0.95
     tremend
    0.90
    atile
    0.86
    umes
    0.84
    uble
    0.84
     unden
    0.81
     predec
    0.80
     hemor
    0.80
    Activations Density 0.002%

    No Known Activations