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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. 8-RES-JB
    11. 11224
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    Explanations

    mentions of various materials and their properties

    oai_token-act-pair · gpt-3.5-turbo

    references to materials and their chemical properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     quota
    -0.69
     ASAP
    -0.68
    nesday
    -0.67
    rection
    -0.66
    eligible
    -0.66
    endment
    -0.65
    Conservative
    -0.63
     quotas
    -0.63
    ļéĨĴ
    -0.62
     lockout
    -0.61
    POSITIVE LOGITS
     civilizations
    0.93
     landscapes
    0.92
     cultures
    0.91
     folklore
    0.90
     mythology
    0.90
     intertw
    0.87
     motif
    0.86
     mysteries
    0.86
     shapes
    0.85
     ancient
    0.84
    Activations Density 1.424%

    No Known Activations