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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. 7-RES-JB
    11. 19039
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    Explanations

    the term "decent" used in the context of quality, treatment, or conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to moderate quality or acceptable standards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sten
    -0.81
    CHAT
    -0.69
    phase
    -0.66
    Abstract
    -0.63
    stal
    -0.62
    stals
    -0.60
     eliminated
    -0.59
    çİĭ
    -0.59
    letter
    -0.59
    isner
    -0.58
    POSITIVE LOGITS
     sized
    1.32
     enough
    0.95
    enough
    0.94
    erate
    0.86
     amount
    0.86
    bye
    0.83
     amounts
    0.82
    ally
    0.82
     (<
    0.79
    ocre
    0.79
    Activations Density 0.109%

    No Known Activations