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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. 11505
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    Explanations

    urban-related terms and concepts, including places, developments, and characteristics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to urban development and architecture

    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
    tein
    -0.78
    aye
    -0.69
    ciating
    -0.69
    odox
    -0.68
    ĭ
    -0.64
     Cosponsors
    -0.64
     confir
    -0.63
    avering
    -0.63
    etsk
    -0.62
     deducted
    -0.62
    POSITIVE LOGITS
    cape
    0.98
    fare
    0.86
     conglomer
    0.85
     dystop
    0.83
     perv
    0.82
    istas
    0.82
    ivism
    0.80
    ista
    0.78
     dominated
    0.77
     circa
    0.76
    Activations Density 0.356%

    No Known Activations