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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. 6408
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    Explanations

    terms related to taking action against someone, especially in the context of employment or confrontation

    oai_token-act-pair · gpt-3.5-turbo

    references to the act of firing someone or something

    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
    lihood
    -0.76
    zzo
    -0.72
     Dreams
    -0.69
    Tok
    -0.64
     amen
    -0.63
    english
    -0.61
    Downloadha
    -0.61
     Yen
    -0.60
     Towns
    -0.60
    âģ
    -0.60
    POSITIVE LOGITS
    urate
    0.84
     firing
    0.84
    balls
    0.81
     bullets
    0.80
    bolt
    0.80
    bomb
    0.80
    locks
    0.79
    onica
    0.79
     fired
    0.78
    starting
    0.78
    Activations Density 0.021%

    No Known Activations