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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
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    Explanations

    adjectives expressing strong emotions or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and their variations, particularly those ending in specific suffixes

    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
    DN
    -0.74
    rait
    -0.73
    illary
    -0.72
    avia
    -0.71
    aver
    -0.69
    emaker
    -0.69
    ainted
    -0.68
    avering
    -0.68
    respect
    -0.68
    mbudsman
    -0.67
    POSITIVE LOGITS
    ly
    0.93
     conco
    0.85
    ishly
    0.83
    ness
    0.79
    nesses
    0.77
     nature
    0.77
     depths
    0.77
     scramble
    0.76
     havoc
    0.76
     confines
    0.75
    Activations Density 0.090%

    No Known Activations