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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. 3-RES-JB
    11. 5978
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    INDEX
    Explanations

    mentions of hallucinations or related concepts

    oai_token-act-pair · gpt-3.5-turbo

    words related to hallucinations and the supernatural

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     voluntary
    -0.64
    ackets
    -0.64
    omo
    -0.64
     nitrogen
    -0.64
     unpaid
    -0.63
     differential
    -0.63
     priorit
    -0.63
     streamlined
    -0.62
    orem
    -0.61
    imilation
    -0.61
    POSITIVE LOGITS
    ishly
    0.86
    Haunted
    0.86
    walker
    0.80
    lore
    0.80
    tty
    0.77
    lie
    0.77
     Chaser
    0.77
     paranormal
    0.74
     haunting
    0.74
     haunt
    0.73
    Activations Density 0.162%

    No Known Activations