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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
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    Explanations

    phrases related to dependence and reliance on various entities or substances

    oai_token-act-pair · gpt-3.5-turbo

    terms related to reliance and dependence

    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
    gran
    -0.75
    Nazi
    -0.75
    icles
    -0.70
    icle
    -0.70
    Nazis
    -0.68
    nin
    -0.68
    tein
    -0.67
     Klu
    -0.66
     Athletic
    -0.66
    asc
    -0.65
    POSITIVE LOGITS
     reliance
    1.24
     dependence
    1.11
     dependency
    1.00
     destro
    0.97
    olkien
    0.96
    liction
    0.95
    lessly
    0.93
    yip
    0.91
     reliant
    0.89
     proble
    0.89
    Activations Density 0.010%

    No Known Activations