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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    terms related to behavioral inclinations or tendencies

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "tendency" as it relates to behaviors or patterns in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ser
    -0.70
     LIVE
    -0.65
    Kit
    -0.64
    packages
    -0.64
     addresses
    -0.63
     fulfilled
    -0.62
     Live
    -0.60
     awaits
    -0.60
    cop
    -0.59
     Mount
    -0.58
    POSITIVE LOGITS
     tendency
    3.75
     propensity
    2.59
     tendencies
    2.39
     penchant
    2.06
     inclination
    1.90
     temptation
    1.58
     habit
    1.49
     knack
    1.47
     inability
    1.44
     Tend
    1.43
    Activations Density 0.017%

    No Known Activations