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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. 1-RES-JB
    11. 23325
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    Explanations

    locations or geographical features

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of lands and ecosystems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     logical
    -0.75
     muscular
    -0.69
     corrective
    -0.68
     notation
    -0.66
     minimal
    -0.65
     developmental
    -0.65
     reasonable
    -0.63
    GY
    -0.62
     periodic
    -0.62
    berus
    -0.62
    POSITIVE LOGITS
    lands
    1.19
    dale
    1.18
    borough
    0.95
    lords
    0.93
    side
    0.91
    mere
    0.90
    vale
    0.89
    stones
    0.88
    warming
    0.87
    hips
    0.86
    Activations Density 0.009%

    No Known Activations