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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. 2-RES-JB
    11. 1932
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    Explanations

    adjectives related to negative emotions or situations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "grim" and its variations, along with related expressions of negativity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ournals
    -0.77
    ************
    -0.71
    uments
    -0.70
    ACP
    -0.70
    agate
    -0.70
    ---------------
    -0.70
    PUT
    -0.69
    ership
    -0.68
    ":[
    -0.68
    ————
    -0.67
    POSITIVE LOGITS
    oire
    0.99
     grim
    0.96
    dark
    0.94
    acing
    0.94
    aces
    0.81
    grim
    0.79
     earthqu
    0.78
    ace
    0.77
    lock
    0.75
    shaw
    0.74
    Activations Density 0.009%

    No Known Activations