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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. 4-RES-JB
    11. 787
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    Explanations

    phrases related to difficulty or ease

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the difficulties or ease associated with actions or situations

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

    No Comments

    Negative Logits
    Introduced
    -0.88
    STAR
    -0.82
     Accessed
    -0.72
    kind
    -0.70
    zona
    -0.68
    prem
    -0.68
    coin
    -0.64
    1967
    -0.64
    7601
    -0.63
    rano
    -0.62
    POSITIVE LOGITS
    gotten
    1.01
    bidden
    0.99
    ays
    0.91
    geries
    0.87
    gettable
    0.85
     anyone
    0.83
     oneself
    0.82
     generations
    0.81
     outsiders
    0.78
     beginners
    0.78
    Activations Density 0.100%

    No Known Activations