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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. 912
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    Explanations

    terms related to proper nouns, specifically names or places

    oai_token-act-pair · gpt-3.5-turbo

    suffixes or morphemes related to scientific or medical terminology

    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
    sighted
    -0.66
    nexus
    -0.63
     differential
    -0.62
     peripheral
    -0.61
     fork
    -0.60
    door
    -0.60
    spoken
    -0.59
    dated
    -0.58
    hander
    -0.58
     backlog
    -0.58
    POSITIVE LOGITS
    gio
    0.81
    ADRA
    0.80
    arie
    0.79
    agall
    0.79
    igl
    0.76
    assi
    0.75
    andise
    0.74
    iano
    0.74
    rix
    0.72
    iture
    0.70
    Activations Density 0.153%

    No Known Activations