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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. 6-RES-JB
    11. 17157
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    Explanations

    references to bio-related topics or substances

    oai_token-act-pair · gpt-3.5-turbo

    references to bio-related topics or terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ership
    -0.76
     Revel
    -0.72
    ynasty
    -0.68
    oaded
    -0.68
     Nether
    -0.66
    UAL
    -0.66
     Parables
    -0.65
    NESS
    -0.64
    âĶĢâĶĢ
    -0.63
    REAM
    -0.62
    POSITIVE LOGITS
    hazard
    1.45
    fuel
    1.11
    availability
    1.04
    ethical
    1.00
    gon
    0.98
    lete
    0.96
    elect
    0.95
    char
    0.95
    osate
    0.95
    electric
    0.95
    Activations Density 0.015%

    No Known Activations