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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 21192
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    INDEX
    Explanations

    numeric values related to electronic memory storage capacity

    oai_token-act-pair · gpt-3.5-turbo

    references to RAM and storage capacity in gigabytes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icians
    -0.77
    ople
    -0.71
     Akin
    -0.66
    effects
    -0.64
    flies
    -0.63
     resemb
    -0.63
     Osw
    -0.62
    neum
    -0.62
     discipl
    -0.61
     committees
    -0.61
    POSITIVE LOGITS
     GDDR
    1.07
    abytes
    0.94
    +.
    0.88
    ASE
    0.87
    bps
    0.87
    abyte
    0.85
     RAM
    0.84
    hz
    0.82
    +
    0.79
    +,
    0.79
    Activations Density 0.015%

    No Known Activations