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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. 10-RES-JB
    11. 5280
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    Explanations

    references to pairs of items

    oai_token-act-pair · gpt-3.5-turbo

    references to pairs of items or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulhu
    -0.66
    sbm
    -0.66
    INA
    -0.66
    ADRA
    -0.66
     Occupations
    -0.65
    ablishment
    -0.65
    inez
    -0.64
    arde
    -0.62
    uli
    -0.60
    ESCO
    -0.60
    POSITIVE LOGITS
    ings
    1.20
    wise
    1.11
    lihood
    0.94
    horn
    0.84
    pair
    0.84
    ably
    0.82
    footed
    0.82
     mates
    0.81
     mate
    0.79
    rings
    0.73
    Activations Density 0.036%

    No Known Activations