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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. 0-RES-JB
    11. 9729
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    Explanations

    statements or terms related to justifiability or verifiability

    oai_token-act-pair · gpt-3.5-turbo

    terms related to justification and verifiability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Da
    -0.62
     Maze
    -0.61
     Dream
    -0.61
     sessions
    -0.60
     Demo
    -0.60
     Mem
    -0.59
    ser
    -0.58
     first
    -0.56
     drafts
    -0.56
     Circuit
    -0.56
    POSITIVE LOGITS
    ifiable
    4.47
    ifications
    1.99
    ified
    1.98
    ifying
    1.92
    ifies
    1.85
    IFIED
    1.80
    ifiers
    1.72
    ifier
    1.60
    ification
    1.58
    icable
    1.56
    Activations Density 0.015%

    No Known Activations