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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. 0-RES-JB
    11. 9686
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    Explanations

    numbers related to measurements, such as weights or distances

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to specific events or measures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Embedding Space Digit Features

    No Comments

    Negative Logits
    otom
    -0.80
     Pelosi
    -0.69
    inen
    -0.67
    baum
    -0.65
    bm
    -0.65
    ah
    -0.64
    conom
    -0.64
    bane
    -0.63
    nown
    -0.62
    \<
    -0.61
    POSITIVE LOGITS
     155
    2.33
     153
    2.31
     154
    2.31
     147
    2.31
     145
    2.29
     152
    2.26
     149
    2.25
     156
    2.24
     146
    2.23
     143
    2.22
    Activations Density 0.042%

    No Known Activations