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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. 22164
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    Explanations

    words related to strong negative emotions, particularly anger or hostility

    oai_token-act-pair · gpt-3.5-turbo

    terms related to negativity and unpleasantness

    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
     Scotia
    -0.74
     Atlantis
    -0.67
     Reading
    -0.66
    OPA
    -0.65
     Caps
    -0.65
     Gravity
    -0.63
     Fore
    -0.63
     Archdemon
    -0.63
     Isles
    -0.63
    adder
    -0.62
    POSITIVE LOGITS
     ranc
    1.34
     corrid
    1.01
     ranch
    0.91
     tomat
    0.86
    ÃŃa
    0.84
    ModLoader
    0.83
    yssey
    0.79
    aste
    0.78
    iosity
    0.78
     lapt
    0.77
    Activations Density 0.007%

    No Known Activations