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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. 1-RES-JB
    11. 6653
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    Explanations

    adjectives related to harshness or pain

    oai_token-act-pair · gpt-3.5-turbo

    references to cruelty and inhumanity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ACP
    -0.76
    BU
    -0.74
    PU
    -0.71
    rity
    -0.70
    FU
    -0.69
    UP
    -0.66
    ohm
    -0.66
     Banking
    -0.66
    FP
    -0.65
    acular
    -0.65
    POSITIVE LOGITS
     cruel
    1.16
     cruelty
    0.86
     Cruel
    0.85
     inhuman
    0.83
     irony
    0.81
     undermin
    0.80
    terday
    0.79
     injustice
    0.78
     killers
    0.77
     murderers
    0.77
    Activations Density 0.003%

    No Known Activations