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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. 3114
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    Explanations

    mentions of objects being placed or positioned in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to placement and positioning

    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
    RAFT
    -0.76
     Doctrine
    -0.69
     Annotations
    -0.66
    heimer
    -0.66
    ãģ®éŃĶ
    -0.65
     DRAG
    -0.63
    VAL
    -0.62
    Ô
    -0.61
    æĸ¹
    -0.61
    çīĪ
    -0.61
    POSITIVE LOGITS
    ements
    1.25
     plac
    1.09
    atos
    0.98
    acement
    0.88
    ate
    0.86
    ating
    0.85
    ently
    0.83
    idity
    0.82
    atron
    0.81
    ation
    0.81
    Activations Density 0.008%

    No Known Activations