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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. 3-RES-JB
    11. 18200
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    Explanations

    terms related to being "oriented" towards particular goals or strategies

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various orientations in different contexts, such as person-centered, market-oriented, or topic-oriented approaches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arthy
    -0.74
    Chance
    -0.73
    isle
    -0.70
    ille
    -0.70
    女
    -0.69
    flies
    -0.69
    Redditor
    -0.67
    hide
    -0.66
    Chief
    -0.66
    aders
    -0.66
    POSITIVE LOGITS
     oriented
    1.04
     toward
    0.91
    irection
    0.88
    atives
    0.88
     towards
    0.84
    eering
    0.81
    xual
    0.81
     minded
    0.81
     cooperative
    0.81
     exha
    0.78
    Activations Density 0.018%

    No Known Activations