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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. 2-RES-JB
    11. 15630
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    Explanations

    instructions or recommendations in a text

    oai_token-act-pair · gpt-3.5-turbo

    conditionals that suggest hypothetical scenarios or advice

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Els
    -0.81
    EStreamFrame
    -0.69
    ENE
    -0.65
     Alz
    -0.63
     adolesc
    -0.63
    ORPG
    -0.63
     Eisen
    -0.62
    ITE
    -0.61
    TD
    -0.59
    ADS
    -0.58
    POSITIVE LOGITS
     slightest
    0.86
    rha
    0.74
     pressed
    0.71
     lapse
    0.69
     properly
    0.69
     bothered
    0.68
     polled
    0.68
     ceases
    0.68
    ught
    0.67
     reasonably
    0.66
    Activations Density 1.258%

    No Known Activations