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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 8233
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    Explanations

    versions of software programs

    oai_token-act-pair · gpt-3.5-turbo

    periods or version numbers associated with software

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     purse
    -0.79
     affili
    -0.74
     burglary
    -0.71
     crocod
    -0.71
     worsh
    -0.68
     volunt
    -0.67
     amy
    -0.67
     omission
    -0.67
     hypnot
    -0.66
     arms
    -0.65
    POSITIVE LOGITS
    0
    1.05
    5
    1.01
    99
    0.99
    txt
    0.94
    jpg
    0.93
    exe
    0.93
    XXX
    0.92
    6
    0.90
    jar
    0.89
    709
    0.88
    Activations Density 0.108%

    No Known Activations