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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. 6-RES-JB
    11. 2939
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    INDEX
    Explanations

    the names of specific news outlets and journalists

    oai_token-act-pair · gpt-3.5-turbo

    prominent media outlets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.85
    chwitz
    -0.68
    aturday
    -0.68
    ailability
    -0.67
    comfort
    -0.65
     âĵĺ
    -0.65
    rontal
    -0.65
    posure
    -0.64
    istries
    -0.63
    auri
    -0.63
    POSITIVE LOGITS
     progresses
    1.12
     unfolds
    0.99
     grows
    0.93
     expands
    0.83
     evolves
    0.83
     begins
    0.80
     prepares
    0.78
     progressed
    0.77
     unfolded
    0.77
     continues
    0.77
    Activations Density 0.275%

    No Known Activations