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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. 7321
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    Explanations

    phrases related to taking action or fighting back

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express resistance or standing up against challenges

    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
    chell
    -0.79
    ãĥ¼ãĥ«
    -0.78
    address
    -0.76
    arlane
    -0.71
     Helpful
    -0.68
    clair
    -0.68
    chnology
    -0.68
    ":-
    -0.66
    çīĪ
    -0.66
    hee
    -0.64
    POSITIVE LOGITS
     sqor
    0.87
    enegger
    0.87
    ardless
    0.79
     attrition
    0.75
     urge
    0.71
     against
    0.70
     extinction
    0.69
     raged
    0.69
    ipeg
    0.69
     survival
    0.68
    Activations Density 0.148%

    No Known Activations