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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. 2181
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    Explanations

    keywords related to a specific location or facility

    oai_token-act-pair · gpt-3.5-turbo

    mentions of facilities

    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
    tail
    -0.71
    thin
    -0.70
    tails
    -0.67
    poll
    -0.67
     mighty
    -0.65
     paras
    -0.64
    plets
    -0.64
    growth
    -0.63
     decisive
    -0.63
    harm
    -0.62
    POSITIVE LOGITS
     facility
    1.15
     Facility
    1.05
     facilities
    1.03
     Facilities
    0.81
    hess
    0.76
    ilitation
    0.72
     renovations
    0.68
    eteria
    0.68
    ility
    0.68
    anamo
    0.68
    Activations Density 0.012%

    No Known Activations