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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. 11-RES-JB
    11. 5103
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    Explanations

    specific references such as locations and dates within documents

    oai_token-act-pair · gpt-3.5-turbo

    the word "the" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atto
    -0.85
    served
    -0.80
    thood
    -0.78
    ovo
    -0.76
    edit
    -0.75
    Hon
    -0.74
    jong
    -0.74
    ividual
    -0.73
    eder
    -0.73
    imentary
    -0.72
    POSITIVE LOGITS
     stakes
    1.22
     mood
    1.14
     fallout
    1.10
     tide
    1.09
     unthinkable
    1.09
     saga
    1.09
     spectacle
    1.09
     headlines
    1.08
     enorm
    1.08
     countdown
    1.07
    Activations Density 0.453%

    No Known Activations