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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. 8-RES-JB
    11. 371
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    Explanations

    terms related to technical processes, such as scientific experiments and equipment, as well as creative processes like art techniques

    oai_token-act-pair · gpt-3.5-turbo

    technological terms related to imaging and editing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    "]=>
    -0.61
    eday
    -0.60
    ogether
    -0.59
    icipated
    -0.56
     LAST
    -0.54
    nesday
    -0.54
    leground
    -0.54
     Alive
    -0.54
    nai
    -0.54
    emetery
    -0.53
    POSITIVE LOGITS
     techniques
    0.68
     apparatus
    0.68
     filters
    0.66
     technique
    0.66
     brush
    0.65
     annotations
    0.65
     lens
    0.63
     flair
    0.61
     lenses
    0.60
     filter
    0.60
    Activations Density 1.127%

    No Known Activations